{"as_of":"2026-08-23T19:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c010d895e6ec24e32b6e8dcb23c059219ef94f541d9407bcc6478fdd83b928e7","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":63,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:33:36.712864Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":10,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-12T21:59:11.605565Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.08147","last_updated":"2024-11-12T19:53:00Z","snapshot_observed_at":"2026-08-21T03:44:33.483122Z","submitted_at":"2024-11-12T19:53:00Z","title":"Large Language Models Can Self-Improve in Long-context Reasoning","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-12T21:59:11.605565Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2411.08147"},"observation_digest":"sha256:fde2cd4ad39606d1fa0fd45519592da76406d5c067a44cbf8e927a1c97145be5","observation_id":"9d542e08-3b47-4884-bfbc-f8c883a8cbe7","resolution":{"observed_at":"2026-08-12T21:59:11.605565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-12T17:12:32.846216Z","title":"Differential transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12892","last_updated":"2024-11-19T22:17:18Z","snapshot_observed_at":"2026-08-13T12:26:07.656846Z","submitted_at":"2024-11-19T22:17:18Z","title":"Selective Attention: Enhancing Transformer through Principled Context Control","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T17:12:32.846216Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2411.12892"},"observation_digest":"sha256:b9eb6696e4f652106c55032de82960695f0753d3877d26a0ff6535119c4d5394","observation_id":"072d5fac-31bd-43e9-8efa-494a3927a17b","resolution":{"observed_at":"2026-08-12T17:12:32.846216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-12T10:10:29.947570Z","title":"Differential transformer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.19574","last_updated":"2024-12-05T12:19:38Z","snapshot_observed_at":"2026-08-15T13:09:11.103720Z","submitted_at":"2024-11-29T09:42:38Z","title":"KV Shifting Attention Enhances Language Modeling","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T10:10:29.947570Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2411.19574"},"observation_digest":"sha256:8147ab19c8239f13cbf01dcd910c98fd47bf439a8348ead5e152cc5663f9c025","observation_id":"c3e8e27e-c028-4a67-a0b2-105df4194d04","resolution":{"observed_at":"2026-08-12T10:10:29.947570Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-11T23:26:42.714739Z","title":"Differential transformer.arXiv preprint arXiv:2410.05258, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02545","last_updated":"2025-03-28T13:23:12Z","snapshot_observed_at":"2026-08-17T06:16:08.106746Z","submitted_at":"2024-12-03T16:37:23Z","title":"ShadowHack: Hacking Shadows via Luminance-Color Divide and Conquer","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T23:26:42.714739Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2412.02545"},"observation_digest":"sha256:9f05ee07b934e2201e670b64b218479b68d2130514a8a92154aa174b61441fbb","observation_id":"8443bca7-526c-4bcd-9824-1fa8cdc5452a","resolution":{"observed_at":"2026-08-11T23:26:42.714739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-11T20:09:35.409858Z","title":"Differential transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.06061","last_updated":"2025-02-28T20:36:37Z","snapshot_observed_at":"2026-08-22T05:24:18.451253Z","submitted_at":"2024-12-08T20:29:06Z","title":"Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond","version":2},"reference_index":134,"source":"arxiv_source","source_observed_at":"2026-08-11T20:09:35.409858Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2412.06061"},"observation_digest":"sha256:1a02591a3742d60afdfe51e5fe70045eddbddcc7613d1843eb4671f8f8ee4b9e","observation_id":"7cdce1c8-3922-4569-86d1-b646fb41a576","resolution":{"observed_at":"2026-08-11T20:09:35.409858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-11T17:10:44.366991Z","title":"Differential transformer","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.09353","last_updated":"2025-04-15T10:14:34Z","snapshot_observed_at":"2026-08-16T18:37:28.389117Z","submitted_at":"2024-12-12T15:22:03Z","title":"Causal Graphical Models for Vision-Language Compositional Understanding","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T17:10:44.366991Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2412.09353"},"observation_digest":"sha256:01e6daf087a4ea367c976bff850bcd1c9ff449cdb4ed6285023db6568d2122d7","observation_id":"6c8dc105-95b2-4711-a5f2-f7b5c1730207","resolution":{"observed_at":"2026-08-11T17:10:44.366991Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-11T05:37:55.524333Z","title":"Differential Transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17350","last_updated":"2024-12-23T07:21:41Z","snapshot_observed_at":"2026-08-20T08:43:12.449348Z","submitted_at":"2024-12-23T07:21:41Z","title":"DiffFormer: a Differential Spatial-Spectral Transformer for Hyperspectral Image Classification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T05:37:55.524333Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2412.17350"},"observation_digest":"sha256:c14fc8e3e790704f04389d38bd8cf6ec9de32b54930d8c7da89178c183e16f6a","observation_id":"0294be02-4415-4b66-8ec1-5881c86f886f","resolution":{"observed_at":"2026-08-11T05:37:55.524333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-10T21:57:08.491222Z","title":"Differential transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.03489","last_updated":"2025-01-08T22:22:43Z","snapshot_observed_at":"2026-08-17T16:26:47.102221Z","submitted_at":"2025-01-07T03:17:47Z","title":"Entropy-Guided Attention for Private LLMs","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T21:57:08.491222Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2501.03489"},"observation_digest":"sha256:0971d343c4e0d5ba264cd6e789ca45bbb285743ae9a47a623d85d0a5d5ee79fe","observation_id":"6249a39a-8ff0-4a49-9755-4c85b1903e09","resolution":{"observed_at":"2026-08-10T21:57:08.491222Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-09T20:34:01.265036Z","title":"Differential transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19399","last_updated":"2025-01-31T18:55:35Z","snapshot_observed_at":"2026-08-17T08:44:55.472979Z","submitted_at":"2025-01-31T18:55:35Z","title":"Scalable-Softmax Is Superior for Attention","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-09T20:34:01.265036Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2501.19399"},"observation_digest":"sha256:bcd9e86f6b96b056423e9aed3eeb9fe2d6f8363c4f60c52f62d20327b782a45f","observation_id":"7cb6b1d2-436f-4fab-b038-103e2a046339","resolution":{"observed_at":"2026-08-09T20:34:01.265036Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-09T12:18:11.313819Z","title":"Zhuang, Y ., Zheng, L., Li, Z., Xing, E., Ho, Q., Gonzalez, J., Stoica, I., Zhang, H., and Zhao, H","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.02414","last_updated":"2025-02-07T09:48:09Z","snapshot_observed_at":"2026-08-18T11:03:04.245169Z","submitted_at":"2025-02-04T15:33:50Z","title":"Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T12:18:11.313819Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2502.02414"},"observation_digest":"sha256:1b6bd702c4eee20afec5c239aa965caf36ef1a4c7d34687713fdf25bc943ca6d","observation_id":"45abcced-0eaa-4c3f-8a46-af4daba8fb05","resolution":{"observed_at":"2026-08-09T12:18:11.313819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-08T14:13:38.428051Z","title":"Differential transformer, 2024 b","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06975","last_updated":"2025-02-10T19:14:51Z","snapshot_observed_at":"2026-08-14T08:32:12.525435Z","submitted_at":"2025-02-10T19:14:51Z","title":"Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents","version":1},"reference_index":105,"source":"arxiv_source","source_observed_at":"2026-08-08T14:13:38.428051Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2502.06975"},"observation_digest":"sha256:ea7a756d215327defd7e6e399c8affc7b073241a4121cc80b6b10f8fb3f8f720","observation_id":"b6c4cbf0-fe08-4880-b4f3-038bd1bad51b","resolution":{"observed_at":"2026-08-08T14:13:38.428051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2505.03258","last_updated":"2026-02-12T20:05:26Z","snapshot_observed_at":"2026-07-31T08:32:11.043797Z","submitted_at":"2025-05-06T07:37:34Z","title":"IAFormer: Interaction-Aware Transformer network for collider data analysis","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-22T17:13:47.293753Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2505.03258"},"observation_digest":"sha256:9deeee2ea1ff72d8d847799b69e633f83f5c5fda5cfbb24c82d11b8486a5c977","observation_id":"a1edc1d0-c800-4fb6-9aaf-68239d4583db","resolution":{"observed_at":"2026-05-22T17:14:59.618955Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-15T21:33:36.712864Z","title":"Differential transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.09484","last_updated":"2026-07-06T08:24:55Z","snapshot_observed_at":"2026-08-19T14:52:41.596750Z","submitted_at":"2025-05-14T15:36:44Z","title":"Purify then Guide: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T21:33:36.712864Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2505.09484"},"observation_digest":"sha256:130a50da69145d18f94639e4cde9b2ff5f3ed9ec4b1e242713ed2cd42873aad3","observation_id":"c7e8f914-2f92-4236-96a2-4f8f0a9409a2","resolution":{"observed_at":"2026-08-15T21:33:36.712864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-07T14:35:12.841860Z","title":"arXiv preprint arXiv:2410.05258 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18423","last_updated":"2025-05-23T23:22:18Z","snapshot_observed_at":"2026-08-19T13:21:16.961104Z","submitted_at":"2025-05-23T23:22:18Z","title":"CENet: Context Enhancement Network for Medical Image Segmentation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:35:12.841860Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2505.18423"},"observation_digest":"sha256:70ff36b94c9f81314534ab9d32a540d6a5548cfb446ecf337c0dfa58b4736797","observation_id":"0083a72b-f3a8-4e04-895a-ecd1b31099c7","resolution":{"observed_at":"2026-08-07T14:35:12.841860Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-07T11:24:59.132695Z","title":"Differential transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02505","last_updated":"2025-06-03T06:32:27Z","snapshot_observed_at":"2026-08-17T23:23:11.165495Z","submitted_at":"2025-06-03T06:32:27Z","title":"Adaptive Differential Denoising for Respiratory Sounds Classification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:59.132695Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2506.02505"},"observation_digest":"sha256:c76fdcd032bb52ea540e90977b19b42d0353deae3f7635f08bc1b2391db4fb2f","observation_id":"defbaf5b-2cfe-4d6b-8bba-acaa997343b9","resolution":{"observed_at":"2026-08-07T11:24:59.132695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-07T11:24:39.008059Z","title":"Differential trans- former.arXiv preprint arXiv:2410.05258,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02576","last_updated":"2025-06-05T07:54:37Z","snapshot_observed_at":"2026-08-14T08:22:11.237909Z","submitted_at":"2025-06-03T07:55:51Z","title":"ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:24:39.008059Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2506.02576"},"observation_digest":"sha256:5efc5c7383f3fc013c516082bcd21fa2e3ad13db43c363708083cc2d647d6b55","observation_id":"0d3e5c42-84e4-4e8b-8529-eede989d435b","resolution":{"observed_at":"2026-08-07T11:24:39.008059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-07T05:21:37.289088Z","title":"Differential transformer.arXiv:2410.05258, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08297","last_updated":"2026-07-16T07:47:36Z","snapshot_observed_at":"2026-08-18T19:25:29.709889Z","submitted_at":"2025-06-10T00:03:19Z","title":"SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:21:37.289088Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2506.08297"},"observation_digest":"sha256:a82f3180891b3307213153f3476339467b5b1eb0ad60f0fd7dda4ac48b413ae1","observation_id":"bba0ff3f-6533-4a6d-ade0-88923297aa26","resolution":{"observed_at":"2026-08-07T05:21:37.289088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-06T23:20:00.089826Z","title":"Differential transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18402","last_updated":"2025-06-23T08:39:48Z","snapshot_observed_at":"2026-08-22T11:42:18.514684Z","submitted_at":"2025-06-23T08:39:48Z","title":"Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multiscale Feature Fusion and Attention Enhancement","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:20:00.089826Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2506.18402"},"observation_digest":"sha256:53417148006ffe618581ab62f7ab3f9625a8c0d9d19788981d11c310647fb083","observation_id":"0e387e4c-63f2-4d63-b720-2b61a86e89eb","resolution":{"observed_at":"2026-08-06T23:20:00.089826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-15T18:50:11.052115Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18717","last_updated":"2025-06-23T14:53:31Z","snapshot_observed_at":"2026-08-20T08:43:13.944113Z","submitted_at":"2025-06-23T14:53:31Z","title":"A Study of Dynamic Stock Relationship Modeling and S&P500 Price Forecasting Based on Differential Graph Transformer","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T18:50:11.052115Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2506.18717"},"observation_digest":"sha256:fad4aabcb5abc37328ffe1e406af14dae82e1fdc62fad5228494397e7f316a00","observation_id":"9b140d58-2640-473c-9a9a-4c7648ab34f6","resolution":{"observed_at":"2026-08-15T18:50:11.052115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-06T23:02:24.690287Z","title":"Differential transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20039","last_updated":"2025-06-24T22:40:05Z","snapshot_observed_at":"2026-08-13T12:19:25.920456Z","submitted_at":"2025-06-24T22:40:05Z","title":"Learning Bilateral Team Formation in Cooperative Multi-Agent Reinforcement Learning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T23:02:24.690287Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2506.20039"},"observation_digest":"sha256:5ad94217207d01953ac6efe22e63631aae2dc5b732f7cf451f3cb5745d0a2329","observation_id":"c503f879-3746-428b-b69b-6e01fede1f7c","resolution":{"observed_at":"2026-08-06T23:02:24.690287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-06T22:49:19.225630Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20597","last_updated":"2025-06-25T16:36:05Z","snapshot_observed_at":"2026-08-15T13:02:59.318155Z","submitted_at":"2025-06-25T16:36:05Z","title":"Differential Transformer-driven 6G Physical Layer for Collaborative Perception Enhancement","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:19.225630Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2506.20597"},"observation_digest":"sha256:13d41426d230771f1f3f870fa9c2d95963eb3ff098aa1bf79dbe5ec432e0e0fc","observation_id":"36b8888d-0532-44ad-aec1-81f497002d3b","resolution":{"observed_at":"2026-08-06T22:49:19.225630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-06T21:47:35.768273Z","title":"Differential transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23466","last_updated":"2025-06-30T02:16:38Z","snapshot_observed_at":"2026-08-09T10:50:18.504237Z","submitted_at":"2025-06-30T02:16:38Z","title":"FD-DiT: Frequency Domain-Directed Diffusion Transformer for Low-Dose CT Reconstruction","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:47:35.768273Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2506.23466"},"observation_digest":"sha256:e3f19c3ad505055f558cc0a8633f365baed4cdd9aaee219904e29ccd0ec33fa3","observation_id":"b9b59def-f133-46b8-8462-cb82e79a8dbe","resolution":{"observed_at":"2026-08-06T21:47:35.768273Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-06T20:28:33.798137Z","title":"Differential transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02666","last_updated":"2025-07-03T14:29:43Z","snapshot_observed_at":"2026-08-20T08:45:50.319133Z","submitted_at":"2025-07-03T14:29:43Z","title":"ASDA: Audio Spectrogram Differential Attention Mechanism for Self-Supervised Representation Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:28:33.798137Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2507.02666"},"observation_digest":"sha256:56e97b10da221cb747ee8dbe9909c5e88ed69320cd6462800123ec4e5188b02e","observation_id":"5905a8ce-cce7-483c-975b-37b382bca4a5","resolution":{"observed_at":"2026-08-06T20:28:33.798137Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-06T19:34:17.501356Z","title":"Differential transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05165","last_updated":"2025-07-07T16:20:35Z","snapshot_observed_at":"2026-08-19T20:24:30.384470Z","submitted_at":"2025-07-07T16:20:35Z","title":"Differential Attention for Multimodal Crisis Event Analysis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:34:17.501356Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2507.05165"},"observation_digest":"sha256:a218d8c4f3d3c4cad3d4f5a9eea44222b9e0001c96435b34da2208fc08b44d57","observation_id":"f159c7a9-6f97-44e6-875e-987b0395c3ce","resolution":{"observed_at":"2026-08-06T19:34:17.501356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-06T18:46:51.742088Z","title":"Differential transformer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07814","last_updated":"2025-07-10T14:45:31Z","snapshot_observed_at":"2026-08-15T18:07:28.721991Z","submitted_at":"2025-07-10T14:45:31Z","title":"Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:46:51.742088Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2507.07814"},"observation_digest":"sha256:cfe7f7e231c74c16f35d1a43fe81bc772090ec42dc43b1ee4ce9cc55213df267","observation_id":"846e949f-a265-4aaf-9834-d21fe8097a49","resolution":{"observed_at":"2026-08-06T18:46:51.742088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2507.14995","last_updated":"2026-04-17T12:30:41Z","snapshot_observed_at":"2026-08-17T08:09:16.346731Z","submitted_at":"2025-07-20T14:59:18Z","title":"LLM-Enhanced Multi-Agent Reinforcement Learning with Expert Workflow for Real-Time P2P Energy Trading","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-19T04:12:42.574595Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2507.14995"},"observation_digest":"sha256:4a261b927c07fc92909e184e4fa8d65417638c8cc7f4e84a34cbe62cd57466bf","observation_id":"5b59bc84-d316-467f-acd3-8f479a664141","resolution":{"observed_at":"2026-05-19T04:12:59.586788Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-06T16:39:22.360611Z","title":"Differential transformer, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15875","last_updated":"2025-07-17T09:05:34Z","snapshot_observed_at":"2026-08-14T20:52:04.127429Z","submitted_at":"2025-07-17T09:05:34Z","title":"Differential Multimodal Transformers","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T16:39:22.360611Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2507.15875"},"observation_digest":"sha256:d04cb6d62ac666585efdccec8e22762a667b8b8f88097ca5d86c3387d8daf9a8","observation_id":"54547ed4-52ff-4ee0-994a-2331280ed9a0","resolution":{"observed_at":"2026-08-06T16:39:22.360611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-06T12:14:53.051574Z","title":"arXiv preprint arXiv:2410.05258 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21971","last_updated":"2025-07-29T16:19:55Z","snapshot_observed_at":"2026-08-19T23:19:55.286286Z","submitted_at":"2025-07-29T16:19:55Z","title":"EIFNet: Leveraging Event-Image Fusion for Robust Semantic Segmentation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T12:14:53.051574Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2507.21971"},"observation_digest":"sha256:d79c2053fa6e930bc963d991bb22be8f498c3d03851191d1d2ecabbfef3cc2db","observation_id":"27d07240-04d3-4a59-9b72-df7c32d01e4d","resolution":{"observed_at":"2026-08-06T12:14:53.051574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-06T10:38:38.450006Z","title":"Preprint, arXiv:2410.05258","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.23588","last_updated":"2025-07-31T14:24:59Z","snapshot_observed_at":"2026-08-21T00:38:34.881119Z","submitted_at":"2025-07-31T14:24:59Z","title":"DiffLoRA: Differential Low-Rank Adapters for Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T10:38:38.450006Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2507.23588"},"observation_digest":"sha256:004b951f64586ec22e0e9f76259bd81fc4263b1fb02b2c03f544edf2a29e844a","observation_id":"b64aa2ac-8d4c-4954-8c4e-a332a1ff339e","resolution":{"observed_at":"2026-08-06T10:38:38.450006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-15T17:25:19.691024Z","title":"Differential transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.12315","last_updated":"2026-07-07T18:54:33Z","snapshot_observed_at":"2026-08-20T08:43:15.546739Z","submitted_at":"2025-08-17T10:17:23Z","title":"Deciphering the global production network from cross-border firm transactions","version":4},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T17:25:19.691024Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2508.12315"},"observation_digest":"sha256:44b299d741b6bc1cfd3396fd3cd39174bdb0b9e85b1e7bb93085fe1c3ecd3931","observation_id":"8671215c-7686-4948-9316-a45a4d52e676","resolution":{"observed_at":"2026-08-15T17:25:19.691024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T12:46:03.798154Z","title":"arXiv preprint arXiv:2410.05258 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01275","last_updated":"2025-09-03T03:02:25Z","snapshot_observed_at":"2026-08-18T03:21:31.570259Z","submitted_at":"2025-09-01T09:01:58Z","title":"Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T12:46:03.798154Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2509.01275"},"observation_digest":"sha256:cc68cef2fce30e6b1b6e6e9b155d478b0b12522b9d0ca1e2fd643bee0f5f0eff","observation_id":"475ff051-591c-4c6d-b0e4-9f28aa4b14d0","resolution":{"observed_at":"2026-08-05T12:46:03.798154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T12:32:14.082970Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01535","last_updated":"2025-09-09T04:01:50Z","snapshot_observed_at":"2026-08-20T08:32:42.453898Z","submitted_at":"2025-09-01T15:13:15Z","title":"CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T12:32:14.082970Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2509.01535"},"observation_digest":"sha256:19332ca9b2731f48fcfd04ad967b0f6d0744828bc95003d6b1542d42fb5cafb6","observation_id":"3d2dd68b-d0a4-4605-800b-4501afa7cbcb","resolution":{"observed_at":"2026-08-05T12:32:14.082970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2510.04800","last_updated":"2026-04-21T13:16:20Z","snapshot_observed_at":"2026-08-12T17:48:16.385812Z","submitted_at":"2025-10-06T13:30:07Z","title":"Hybrid Architectures for Language Models: Systematic Analysis and Design Insights","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-18T10:18:04.431436Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2510.04800"},"observation_digest":"sha256:ac86ff55be625f20e90fe855c1d9327f4a920d2786881cce8a3af076e2208e16","observation_id":"779ac3e1-e539-490d-afe9-7751799722bb","resolution":{"observed_at":"2026-05-18T10:21:14.961401Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2511.02043","last_updated":"2026-05-20T23:03:49Z","snapshot_observed_at":"2026-08-18T16:21:29.477579Z","submitted_at":"2025-11-03T20:25:19Z","title":"Flashlight: PyTorch Compiler Extensions to Accelerate Attention Variants","version":4},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-22T11:40:41.762364Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2511.02043"},"observation_digest":"sha256:9345ad361a63650acef049156d2cff64482f6f0d9200cfabe2ee86233d7f4832","observation_id":"3b38fc14-9229-4461-a6b1-e11f1d61a5ab","resolution":{"observed_at":"2026-05-22T11:41:30.037579Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-03T19:14:14.861401Z","title":"Differential transformer.arXiv preprint arXiv:2410.05258, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.01627","last_updated":"2025-12-01T12:50:11Z","snapshot_observed_at":"2026-08-17T04:28:00.924116Z","submitted_at":"2025-12-01T12:50:11Z","title":"Accelerated Machine Learning Force Field for Predicting Thermal Conductivity of Organic Liquids","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-03T19:14:14.861401Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2512.01627"},"observation_digest":"sha256:c9e2d26c44ef0df044f190f44750d4f211621a72d6e38dad8e3d895b57fd1d33","observation_id":"d7b71577-2cdf-4365-a80e-3a0d4afa4bb0","resolution":{"observed_at":"2026-08-03T19:14:14.861401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2512.07222","last_updated":"2026-04-16T04:54:16Z","snapshot_observed_at":"2026-08-06T07:19:18.941325Z","submitted_at":"2025-12-08T07:05:18Z","title":"Pay Less Attention to Function Words for Free Robustness of Vision-Language Models","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-17T00:33:13.977360Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2512.07222"},"observation_digest":"sha256:20a01be95c5116ea5dfb2f95a60f652d27f3ce7a0490762cb0ba6fa6d0d33521","observation_id":"28194d0e-9a3f-45fc-9a63-c5737feb7115","resolution":{"observed_at":"2026-05-17T00:33:44.696227Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-03T17:52:13.479086Z","title":"Differential transformer.arXiv preprint arXiv:2410.05258, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.07806","last_updated":"2026-05-31T08:21:33Z","snapshot_observed_at":"2026-08-14T14:34:13.251805Z","submitted_at":"2025-12-08T18:39:27Z","title":"Multi-view Pyramid Transformer: Look Coarser to See Broader","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-03T17:52:13.479086Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2512.07806"},"observation_digest":"sha256:38cc4a0ea97e4279d2ca12ad8fb5ac70a40c87189fc303c2a61b1fd1e927691f","observation_id":"e0910bec-0afe-4024-8511-c9342e0bbce6","resolution":{"observed_at":"2026-08-03T17:52:13.479086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-03T14:31:00.017013Z","title":"Differential transformer.arXiv preprint arXiv:2410.05258, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.20251","last_updated":"2026-06-01T12:42:55Z","snapshot_observed_at":"2026-08-20T17:25:55.941383Z","submitted_at":"2025-12-23T11:05:36Z","title":"Degradation-Aware Metric Prompting for Hyperspectral Image Restoration","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-03T14:31:00.017013Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2512.20251"},"observation_digest":"sha256:c2048f356b831a7537f9c22f71da86c9bae770ca5823018eeb69540a4175c283","observation_id":"9e0a06fb-57a6-4f72-a766-4fae0fbadc73","resolution":{"observed_at":"2026-08-03T14:31:00.017013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2602.23410","last_updated":"2026-05-15T11:39:26Z","snapshot_observed_at":"2026-08-16T04:35:32.224802Z","submitted_at":"2026-02-26T15:47:13Z","title":"Brain-OF: An Omnifunctional Foundation Model for fMRI, EEG and MEG","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-21T11:28:57.181268Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2602.23410"},"observation_digest":"sha256:93422b2ceb186b89157c54e4193f9345524592b7c4a3f637d5aa187fc6ce442f","observation_id":"24fbb28c-7119-46f1-a183-40fbf59335b5","resolution":{"observed_at":"2026-05-21T11:30:02.475036Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2604.15583","last_updated":"2026-04-24T15:54:27Z","snapshot_observed_at":"2026-08-19T08:29:55.921783Z","submitted_at":"2026-04-16T23:34:51Z","title":"SAGE: Selective Attention-Guided Extraction for Token-Efficient Document Indexing","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T08:32:02.222528Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2604.15583"},"observation_digest":"sha256:3a3b28bf6e93981f10d8f3352bfc957784b8eb3876fcef3fdc1212a975e9d4d1","observation_id":"2a402421-2597-4431-a2e3-4bac373cc4bf","resolution":{"observed_at":"2026-05-10T08:32:52.116978Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2604.23281","last_updated":"2026-04-25T12:52:10Z","snapshot_observed_at":"2026-07-06T23:09:34.300163Z","submitted_at":"2026-04-25T12:52:10Z","title":"Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-08T08:28:50.239277Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2604.23281"},"observation_digest":"sha256:0e58861af9c3d09f32e45c2903af96c997605bbc3d097452b25d1f6431b8fee7","observation_id":"51c0a454-0826-43f0-a78c-3cc23f6e7612","resolution":{"observed_at":"2026-05-11T20:36:10.870908Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2604.23434","last_updated":"2026-04-25T20:12:21Z","snapshot_observed_at":"2026-08-14T18:21:01.297565Z","submitted_at":"2026-04-25T20:12:21Z","title":"When Does Removing LayerNorm Help? Activation Bounding as a Regime-Dependent Implicit Regularizer","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-08T08:29:58.495518Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2604.23434"},"observation_digest":"sha256:a3f52bed1cf299b6d63dc9520f59a62bad049224fad171b54d7360c5585e1dde","observation_id":"c0eca17d-cf65-4b3a-a972-e53b541ec619","resolution":{"observed_at":"2026-05-11T20:36:10.425976Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.01376","last_updated":"2026-05-02T10:55:40Z","snapshot_observed_at":"2026-08-16T05:32:27.057056Z","submitted_at":"2026-05-02T10:55:40Z","title":"A Cellular Doctrine of Morality: Intrinsic Active Precision and the Mind-Reality Overload Dilemma","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-09T14:26:52.393248Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.01376"},"observation_digest":"sha256:ac7eab1a08e46969445308b402686102515393917bc552c376e32afdb8b466c7","observation_id":"c320c067-3f41-4f05-91d1-26d1e691e9a4","resolution":{"observed_at":"2026-05-11T16:56:07.564759Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.09932","last_updated":"2026-05-11T03:30:35Z","snapshot_observed_at":"2026-08-12T13:08:45.887678Z","submitted_at":"2026-05-11T03:30:35Z","title":"FocuSFT: Bilevel Optimization for Dilution-Aware Long-Context Fine-Tuning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-12T04:35:48.572353Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.09932"},"observation_digest":"sha256:bac07c5efa6b569a108048f018c17b7e5297cc68d1db23b8f2042c4734e7c8a4","observation_id":"9ed229b8-e26c-4821-bcac-0e8bf2314c54","resolution":{"observed_at":"2026-05-12T06:06:26.301037Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.11287","last_updated":"2026-06-16T22:44:04Z","snapshot_observed_at":"2026-08-13T19:59:42.309025Z","submitted_at":"2026-05-11T22:13:53Z","title":"Beyond Similarity: Temporal Operator Attention for Time Series Analysis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-13T02:46:08.480763Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.11287"},"observation_digest":"sha256:c4e289f3ef895576e290a1996bc7fbf96b707e0bf90935d923fb5c2cf9f6b97b","observation_id":"af7f8a2e-eadc-4fb2-91ed-d8d9db48e937","resolution":{"observed_at":"2026-05-13T02:47:07.717862Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.11287","last_updated":"2026-06-16T22:44:04Z","snapshot_observed_at":"2026-08-13T19:59:42.309025Z","submitted_at":"2026-05-11T22:13:53Z","title":"Beyond Similarity: Temporal Operator Attention for Time Series Analysis","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-30T22:12:59.435414Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.11287"},"observation_digest":"sha256:3e604b37eb7c428e08c4a4d28d472e28e4bb3a8eb154305fc7229ba7d7c2a80f","observation_id":"16ef754b-c6b5-40d7-a51b-0753914f09a5","resolution":{"observed_at":"2026-07-01T14:15:46.532510Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.20188","last_updated":"2026-03-21T15:10:54Z","snapshot_observed_at":"2026-08-17T05:24:19.254034Z","submitted_at":"2026-03-21T15:10:54Z","title":"GraphDiffMed: Knowledge-Constrained Differential Attention with Pharmacological Graph Priors for Medication Recommendation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-21T10:56:29.430340Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.20188"},"observation_digest":"sha256:60782445653065a5af98d1a4068fc40b92f5e4a7285b250a76589ee3c27e2872","observation_id":"a9c48d54-0450-4d03-8aa6-86d9e7799070","resolution":{"observed_at":"2026-05-21T11:00:02.189454Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.20635","last_updated":"2026-05-27T05:46:51Z","snapshot_observed_at":"2026-08-16T15:00:15.218718Z","submitted_at":"2026-05-20T02:42:14Z","title":"The General Theory of Localization Methods","version":1},"reference_index":145,"source":"pdf_text","source_observed_at":"2026-05-21T06:33:41.603956Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.20635"},"observation_digest":"sha256:499b1d457215ef64f5296cb332f706fd73e32e888e5f01c83b59458bb988de61","observation_id":"6f9089c0-fc61-4d9d-8d98-68bdd069cd3e","resolution":{"observed_at":"2026-05-21T06:34:00.608468Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.20635","last_updated":"2026-05-27T05:46:51Z","snapshot_observed_at":"2026-08-16T15:00:15.218718Z","submitted_at":"2026-05-20T02:42:14Z","title":"The General Theory of Localization Methods","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-30T17:59:03.597927Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.20635"},"observation_digest":"sha256:eadfa6c8db1c359c190c438195740068ba75076053f34bb9f069abb05d6a9923","observation_id":"f1300472-9d9d-42d5-948b-3c1ad4ae086f","resolution":{"observed_at":"2026-06-30T18:04:58.262577Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.20798","last_updated":"2026-05-20T06:43:34Z","snapshot_observed_at":"2026-08-15T07:45:40.619211Z","submitted_at":"2026-05-20T06:43:34Z","title":"Most Transformer Modifications Still Do Not Transfer at 1-3B: A 2020-2026 Update to Narang et al. (2021) with Downstream Evaluation and a Noise Floor","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-05-21T06:15:47.451870Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.20798"},"observation_digest":"sha256:5abccd4332093ad7e099fbb2344a68d9857b1e44119e6638311e7a162e3d751b","observation_id":"42cdd726-09b9-4835-a16e-48d507fa667d","resolution":{"observed_at":"2026-05-21T06:19:42.050992Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.27959","last_updated":"2026-05-28T03:13:45Z","snapshot_observed_at":"2026-08-14T12:43:34.377960Z","submitted_at":"2026-05-27T04:52:42Z","title":"ROVER: Routing Object-Centric Visual Evidence for Grounded Multi-Image Reasoning","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-06-29T13:41:44.049230Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.27959"},"observation_digest":"sha256:2f2f475fdabaa4317a12a92553dc761ff1df7ab12db2db99a3b802e0f94f6a84","observation_id":"68936655-464a-4714-bdd6-e560affb2551","resolution":{"observed_at":"2026-06-29T13:43:28.667714Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.30652","last_updated":"2026-05-28T23:14:45Z","snapshot_observed_at":"2026-08-02T04:47:49.428615Z","submitted_at":"2026-05-28T23:14:45Z","title":"Bridging the Gap Between Natural Language and Market Dynamics via High-Dimensional Representation Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-29T08:13:23.582139Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.30652"},"observation_digest":"sha256:cd750d5446ef3ddb479c347ace4bc83492ddaedff5f2c4395a813de7eafcb36f","observation_id":"5a62ea27-54dd-4c0e-8211-3b535c677fcf","resolution":{"observed_at":"2026-06-29T08:23:15.919626Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.31023","last_updated":"2026-05-29T08:54:41Z","snapshot_observed_at":"2026-08-10T23:00:27.365706Z","submitted_at":"2026-05-29T08:54:41Z","title":"HADT: A Heterogeneous Multi-Agent Differential Transformer for Autonomous Earth Observation Satellite Cluster","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-28T22:41:18.598462Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.31023"},"observation_digest":"sha256:32e6b2b7cb0f48b3d750f2e105c44d94412b4a0e5f58734535ac836363ddc212","observation_id":"ed0ff88e-80c7-4419-92bd-d6e87ac24a74","resolution":{"observed_at":"2026-06-28T22:42:46.218513Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2605.31463","last_updated":"2026-05-29T15:52:58Z","snapshot_observed_at":"2026-08-16T22:09:12.667787Z","submitted_at":"2026-05-29T15:52:58Z","title":"PithTrain: A Compact and Agent-Native MoE Training System","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-28T23:12:14.193089Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2605.31463"},"observation_digest":"sha256:728fe1af272b1ae7f54daeeabe7fe3e7a26862f742168f41b7e0046b8605abaa","observation_id":"c8d67fee-f1df-4359-a8cd-9551688c8a88","resolution":{"observed_at":"2026-06-28T23:12:46.527277Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2606.04106","last_updated":"2026-06-02T18:11:03Z","snapshot_observed_at":"2026-08-18T19:48:08.642645Z","submitted_at":"2026-06-02T18:11:03Z","title":"Building The Ph(ysical)AI Layer Of Machine Intelligence","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-28T10:36:58.836884Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2606.04106"},"observation_digest":"sha256:3f1d0754b0290509dca2034c79c2f165daff10fcde272833b9546b78a4beac70","observation_id":"c11b7726-fc0a-4639-a6fd-853019972154","resolution":{"observed_at":"2026-07-02T02:46:29.166425Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2606.07604","last_updated":"2026-05-29T09:40:38Z","snapshot_observed_at":"2026-08-03T04:00:50.272221Z","submitted_at":"2026-05-29T09:40:38Z","title":"Contribution Weights: A Geometrical Analysis of Self-Attention Transformers","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-28T23:29:02.457697Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2606.07604"},"observation_digest":"sha256:ec8ffa261e5b58d47eb09828d85fbe34fa288752cf80e210308b36142ed8c179","observation_id":"fd9859cc-0dab-4db5-94a8-cb886d992d67","resolution":{"observed_at":"2026-06-28T23:32:46.705695Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2606.22248","last_updated":"2026-06-27T16:53:14Z","snapshot_observed_at":"2026-08-01T16:17:19.914061Z","submitted_at":"2026-06-20T22:20:36Z","title":"SamatNext v0.2-B: An Exploratory Study of RMS-Normalized Hybrid Decoders for Curriculum Retention in Small Code Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T11:56:36.990856Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2606.22248"},"observation_digest":"sha256:5a81ded078d20df06c9fa85fa4e516d5f7a9331cb32e65b3b01736a3cdbf8f64","observation_id":"4760f57b-e75f-4c86-88ac-1570ea184f08","resolution":{"observed_at":"2026-07-04T08:19:43.902726Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":"2410.05258","doi":"10.48550/arxiv.2410.05258","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Differential transformer","venue":"arXiv (Cornell University)","work_id":"4a130c7c-dbb1-4cc0-a1ef-92972e8bad0e","year":2024},"citing_paper":{"arxiv_id":"2606.22248","last_updated":"2026-06-27T16:53:14Z","snapshot_observed_at":"2026-08-01T16:17:19.914061Z","submitted_at":"2026-06-20T22:20:36Z","title":"SamatNext v0.2-B: An Exploratory Study of RMS-Normalized Hybrid Decoders for Curriculum Retention in Small Code Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T10:17:53.688462Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2606.22248"},"observation_digest":"sha256:457f4df503f7f8f385ab93c22c798fcbda07d39004e8fa559049257fd40d3569","observation_id":"733ea63d-179e-46f5-b655-f02b55a47ed4","resolution":{"observed_at":"2026-06-30T12:04:39.384419Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-07-12T06:39:16.303751Z","title":"Differential transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02845","last_updated":"2026-07-03T00:48:44Z","snapshot_observed_at":"2026-08-13T17:43:33.058277Z","submitted_at":"2026-07-03T00:48:44Z","title":"Differential Amplifier-Inspired AmpAttention for Multi-View Robotic Manipulation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-12T06:39:16.303751Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2607.02845"},"observation_digest":"sha256:505c7a3fad34d0abe7b2b26a36cfc8946d30e29a5942acbba679730e8a54225a","observation_id":"4f3a826e-b224-442a-bb37-8594f4c19b31","resolution":{"observed_at":"2026-07-12T06:39:16.303751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-01T22:14:37.987674Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15830","last_updated":"2026-07-17T10:40:38Z","snapshot_observed_at":"2026-08-19T09:19:06.436634Z","submitted_at":"2026-07-17T10:40:38Z","title":"RTL-Sequencer: Towards Scalable RTL Timing Prediction with the Sequence-based Paradigm","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-01T22:14:37.987674Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2607.15830"},"observation_digest":"sha256:5fb029ee899d953d0e1103f828df04902338757c08b139d6e7c96bc7bc2eee7c","observation_id":"3d07e311-b7b8-4be1-ab7e-6f77dbd5b5a1","resolution":{"observed_at":"2026-08-01T22:14:37.987674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-01T18:06:54.224936Z","title":"arXiv preprint arXiv:2410.05258 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.17419","last_updated":"2026-07-19T21:46:09Z","snapshot_observed_at":"2026-08-17T14:06:02.611529Z","submitted_at":"2026-07-19T21:46:09Z","title":"Kernelized Linear Attention: Breaking the Capacity Wall with Symmetric Cones","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-01T18:06:54.224936Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2607.17419"},"observation_digest":"sha256:021cc8a36528c108479e7399203a0b833be8118dd412f7b090f36aebdfd7982b","observation_id":"875d758a-f54b-447f-a6c6-ac08efe1a7f3","resolution":{"observed_at":"2026-08-01T18:06:54.224936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-01T18:26:06.034050Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.22704","last_updated":"2026-07-19T16:06:32Z","snapshot_observed_at":"2026-08-15T09:54:50.929294Z","submitted_at":"2026-07-19T16:06:32Z","title":"Visible-Light Imaging Diagnosis of Neutral Particle Emission Tomography in the Tokamak Divertor: An Efficient Transformer-based Surrogate Model","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T18:26:06.034050Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2607.22704"},"observation_digest":"sha256:ca430dccaa3f669964220eeb92abe3ba83f779cca875b48c7b8dc69f53cc3000","observation_id":"a58f9372-e7ed-42b1-bd82-242cf1b9219c","resolution":{"observed_at":"2026-08-01T18:26:06.034050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05258","snapshot_observed_at":"2026-08-11T23:12:10.212539Z","title":"Differential transformer.arXiv preprint arXiv:2410.05258, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09119","last_updated":"2026-08-10T04:53:05Z","snapshot_observed_at":"2026-08-19T16:33:29.003229Z","submitted_at":"2026-08-10T04:53:05Z","title":"Motif 3: Technical Report","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-11T23:12:10.212539Z"},"links":{"cited_paper":"/paper/2410.05258","citing_paper":"/paper/2608.09119"},"observation_digest":"sha256:a6d8047b19d2faa90b4de953a8a5cd2b97e149ae01c11b7646839e6a94561a5a","observation_id":"ffd0b996-51c0-41a8-8970-e8ca0bcbc285","resolution":{"observed_at":"2026-08-11T23:12:10.212539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.05258/citation-record","integrity":"/paper/2410.05258/integrity","json":"/paper/2410.05258/citation-record.json","paper":"/paper/2410.05258"},"outbound":[],"paper":{"arxiv_id":"2410.05258","last_updated":"2025-04-07T12:04:28Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-20T08:43:39.407075Z","submitted_at":"2024-10-07T17:57:38Z","title":"Differential Transformer"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 63 inbound Pith citation observations for arXiv:2410.05258."}