{"as_of":"2026-08-08T09:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:57ff5c018b8cae1d19b9bcdcd9b3651309102e7d09e6ba1ca932a3c1d0d881ca","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:10:42.242439Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T19:29:13.317260Z","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":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"cited_work":{"arxiv_id":"2507.06398","doi":"10.48550/arxiv.2507.06398","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.06398","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"https://doi.org/10.48550/arXiv.2507.06398","venue":"ArXiv.org","work_id":"376fb8bd-ca24-45d5-b562-b68ff00f522d","year":2025},"citing_paper":{"arxiv_id":"2606.00235","last_updated":"2026-05-29T18:10:00Z","snapshot_observed_at":"2026-08-05T23:20:16.071593Z","submitted_at":"2026-05-29T18:10:00Z","title":"Civilizational Metamaterials: Engineering Coordination Under Capability Gradients and Structural Turbulence","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-28T19:29:13.317260Z"},"links":{"cited_paper":"/paper/2507.06398","citing_paper":"/paper/2606.00235"},"observation_digest":"sha256:f1f825f91199c288af7f840990a3e9ac8da9092b93f61f4572fa54691ee4ecfa","observation_id":"e80ae8aa-d197-4c60-a55f-0a512ee73a33","resolution":{"observed_at":"2026-06-28T19:32:34.328605Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.06398/citation-record","integrity":"/paper/2507.06398/integrity","json":"/paper/2507.06398/citation-record.json","paper":"/paper/2507.06398"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:10:42.891350Z","title":"https://ai-2027.com (2025)","venue":null,"work_id":"a45d9742-aaaa-45d0-896f-828c479ea064","year":2025},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.110231Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:43d0c9c50a7ef7e0cc7b1ad3e705b10b31a6d2ee999691ed3b7f705ed11bb012","observation_id":"d55bb605-5dd7-46f5-ac09-d0e285fd4886","resolution":{"observed_at":"2026-08-06T19:10:42.895422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.876533Z","title":"Report, UC Berkeley (2020)","venue":null,"work_id":"7250374c-249a-4b29-82b3-70a8bbbbbed7","year":2020},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.115045Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:171c7787abd9b76f5a0ed0fd693cce17fa2355d3feeefc56f84493da6ff5dc4a","observation_id":"f140c6c0-6b97-4d6a-bbc7-69c9140bed8d","resolution":{"observed_at":"2026-08-06T19:10:42.881209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.861347Z","title":"Journal of Consciousness Studies 17(9-10), 7–65 (2010)","venue":null,"work_id":"216c8e65-8b29-4bc8-bf8c-8497cb883c08","year":2010},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.119864Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:861cf041c9430edbcd1061aafd0aa7e223fbc1e54c40c33f241f5ccd35137530","observation_id":"501124ea-4bc4-4b1f-b446-a029c16602ea","resolution":{"observed_at":"2026-08-06T19:10:42.865763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.846838Z","title":"University of Pennsylvania (2007)","venue":null,"work_id":"fcc6e7e4-f656-423f-8063-b3c9c235c200","year":2007},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.124131Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:5edabdf96c4128bb9d0f28e314e0c3b26c76f485e5bd9608c30771556a525518","observation_id":"79781411-d169-4a6a-8ec6-ad9435d5a38d","resolution":{"observed_at":"2026-08-06T19:10:42.851273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07890","last_updated":"2025-04-21T16:43:00Z","snapshot_observed_at":"2026-08-06T17:11:10.013170Z","submitted_at":"2024-07-10T17:57:58Z","title":"Training on the Test Task Confounds Evaluation and Emergence","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07890","snapshot_observed_at":"2026-08-06T19:10:42.128940Z","title":"arXiv preprint arXiv:2407.07890 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.128940Z"},"links":{"cited_paper":"/paper/2407.07890","citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:adab6fa2d1400b8ed07a3a34c84c8e8e7b8d4a99d1afc1c04754dbfed1c081ca","observation_id":"1facafbd-93a9-4f2e-b1c1-d7184eccdbbd","resolution":{"observed_at":"2026-08-06T19:10:42.128940Z","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":"2026-08-06T19:10:42.831041Z","title":null,"venue":null,"work_id":"b3593c3a-e86f-4b92-a687-9e8ec4de3b4c","year":2023},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.133929Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:b73e897eeb40d281fba83a50e8c3101b2630228ad65e1f5f454d183ebb64bd50","observation_id":"4626033b-7aef-4a53-bca8-15918e4f677a","resolution":{"observed_at":"2026-08-06T19:10:42.835428Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.816570Z","title":"https://www.mdpi.com/2078-2489/6/1/3/pdf (2023)","venue":null,"work_id":"d43e2241-dd43-4af6-b5a2-5dfe7b0be29e","year":2023},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.138787Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:fe353c56d4949267bbb2f9c47303efef463bfc5f30c24871fb7c1ceb49748603","observation_id":"3cb7c3c7-1384-4ae4-99cf-b747a4e98d7f","resolution":{"observed_at":"2026-08-06T19:10:42.820959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.802023Z","title":"https://www.cnbc.com/2024/06/04/ elon-musk-told-nvidia-to-ship-ai-chips-reserved-for-tesla-to-x-xai.html (2024)","venue":null,"work_id":"db250e86-5e5f-4370-a32b-95a79add5ea4","year":2024},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.142955Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:5907c85f215f39a12a4a35108b2f7c223b58de9e4812e2bda1e55ea41203ba90","observation_id":"75ecaea7-6491-4ccf-9a76-b4df8898cd2c","resolution":{"observed_at":"2026-08-06T19:10:42.806698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.787911Z","title":"The Review of Economics and Statistics 17(6), 105–115 (1935), originally published in German in 1926","venue":null,"work_id":"79b7ff16-9761-4c6d-97a2-b802ceea0973","year":1935},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.147039Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:46dbf70c577725d5a7e6300b91431a56414c3e761335abcc96c39451d4ad70f9","observation_id":"750c919e-3cdb-4342-a187-2c87198eb1c5","resolution":{"observed_at":"2026-08-06T19:10:42.792463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.774037Z","title":"University of Chicago Press, Chicago (1962)","venue":null,"work_id":"87dc6229-3f55-4c71-8bcc-79f41199ee57","year":1962},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.151536Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:5d3676a8ee0fbef4fb1dd2d93843dacf47698fca435f0f5a4a9cca6a9e756bbe","observation_id":"218cebe6-828b-4f90-b5fa-bf539e0bf7b4","resolution":{"observed_at":"2026-08-06T19:10:42.778310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.759596Z","title":"https://www.writingsbyraykurzweil.com/the-law-of-accelerating-returns (2001)","venue":null,"work_id":"9d81054d-ac62-4e18-8112-59bd734ea65c","year":2001},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.156488Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:fa25575981aa2946cd678f4605f29ab7ae3467980260fa5ad23aaf0540c9ef17","observation_id":"2572d040-e3c1-41af-9318-f7c9f568da88","resolution":{"observed_at":"2026-08-06T19:10:42.763972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.14499","last_updated":"2026-07-10T21:48:09Z","snapshot_observed_at":"2026-08-07T16:54:09.525403Z","submitted_at":"2025-03-18T17:59:31Z","title":"Measuring AI Ability to Complete Long Software Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.14499","snapshot_observed_at":"2026-08-06T19:10:42.160913Z","title":"arXiv preprint arXiv:2503.14499 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.160913Z"},"links":{"cited_paper":"/paper/2503.14499","citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:43fc836ef82420bb1f66f8353b08b2226ba4a7ea25a16b0c96f54b1cd12c3080","observation_id":"1d42b178-87df-41d4-815c-0be17ba6a951","resolution":{"observed_at":"2026-08-06T19:10:42.160913Z","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":"2026-08-06T19:10:42.743333Z","title":"Harvard Data Science Review (2024)","venue":null,"work_id":"ffdb0fe6-f1bc-482f-b35f-2e320d4bb638","year":2024},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.165622Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:ae443e59cbc0d49986ceb2dff1ecc8affd9435879d2b86a9ef9bdcf2b7ebc912","observation_id":"1b076fae-c1c6-4e35-8ffd-29f5d54145ce","resolution":{"observed_at":"2026-08-06T19:10:42.747747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03688","last_updated":"2025-10-04T03:54:18Z","snapshot_observed_at":"2026-08-06T20:36:41.418114Z","submitted_at":"2023-08-07T16:08:11Z","title":"AgentBench: Evaluating LLMs as Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03688","snapshot_observed_at":"2026-08-06T19:10:42.169939Z","title":"arXiv preprint arXiv:2308.03688 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.169939Z"},"links":{"cited_paper":"/paper/2308.03688","citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:f508d34b3a5257b509cc21d63944c0680b7508b5ad07481a4c74e888b7c577ba","observation_id":"b1a871db-4040-4b3d-975c-52cd9e9023b5","resolution":{"observed_at":"2026-08-06T19:10:42.169939Z","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":"2026-08-06T19:10:42.727531Z","title":"https://hai.stanford.edu/news/ai-benchmarks-hit-saturation (April 2023)","venue":null,"work_id":"838e9c74-bc2e-4824-b643-8d0c02d23234","year":2023},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.174747Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:d471bda0d71696ed57727c17c85bc4eb0c55c71677e6b0f931cd4be311595d0f","observation_id":"4290afb0-02db-40f1-8882-ed44865fef69","resolution":{"observed_at":"2026-08-06T19:10:42.732209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.711791Z","title":"https:// manifund.org/projects/moral-progress-in-ai-to-prevent-premature-value-lock-in (2023)","venue":null,"work_id":"4db308ea-9a6c-4ace-bf46-3ca59053cb18","year":2023},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.178924Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:2dfe8d599232d722d67c33a8def8f9a6d80c5ed0f3f9c1bb4ea9d42769cb50fe","observation_id":"0f3366c1-794d-483c-b05a-42c048874ab6","resolution":{"observed_at":"2026-08-06T19:10:42.716998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.697047Z","title":"Question opened January 23, 2020","venue":null,"work_id":"83126403-8b69-4e47-a371-4c9b7431dae0","year":2020},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.183740Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:660941525c85b95c5d4620decd10ff4450af4e8893a8c1b27bd97bfc97b40df8","observation_id":"8ec1d159-ec3c-416b-a40c-bf66e691b746","resolution":{"observed_at":"2026-08-06T19:10:42.701683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.678326Z","title":"METR Blog, https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/ (March 2025)","venue":null,"work_id":"b8c7f05c-3a24-4d75-abc4-7edfdab7a1f3","year":2025},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.188358Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:9f4b73892e78099313daa8ddf362c7cfc714ed79cec972c9534adf5e14469fdf","observation_id":"e3d976e5-169a-4945-b7ed-fb8d4c1ff121","resolution":{"observed_at":"2026-08-06T19:10:42.686869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.663404Z","title":"https://nvidianews.nvidia.com/news/ nvidia-blackwell-platform-arrives-to-power-a-new-era-of-computing (March 2024)","venue":null,"work_id":"3b3b7859-d689-43b8-8c06-5fdd01c626db","year":2024},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.192305Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:7f8505de126d0d9dc0de83aefd210fe3d264caa932ea357758b7aa2ea6163d2c","observation_id":"e7ba7072-ff36-44ec-8241-1b722cc5578a","resolution":{"observed_at":"2026-08-06T19:10:42.668198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-06T19:10:42.196743Z","title":"https://arxiv.org/abs/2303.08774 (2023) Jolting Technologies: Superexponential Acceleration in AI 13","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.196743Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:1188708b6b2fd9494a520012ea4ac28b94a2dde6b63267fd12fa949bf5c3700f","observation_id":"3c19fc9f-18e1-442b-8d9d-fe883b312e84","resolution":{"observed_at":"2026-08-06T19:10:42.196743Z","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":"2026-08-06T19:10:42.648169Z","title":"https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo (2024)","venue":null,"work_id":"070ef74b-f6ac-49ba-aca5-2c870a1814a8","year":2024},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.201619Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:8a8d09f30af8bdf07b920821691e07181310253d6bb3403338f1955dc8eb13e1","observation_id":"86148bc1-ed2a-4900-bf37-865adf9553aa","resolution":{"observed_at":"2026-08-06T19:10:42.653045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.631504Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","venue":null,"work_id":"31640522-f903-4cb2-a5f6-2556ba525541","year":2025},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.206513Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:900b203dcafea96bd5e7098f8df74df583e62351b559cb7ce09710b30fa5a3dc","observation_id":"9118248e-6bc0-4445-9dbf-a27321677130","resolution":{"observed_at":"2026-08-06T19:10:42.636327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.616794Z","title":"Journal of Machine Learning Research12, 2825–2830 (2011)","venue":null,"work_id":"fb1f4403-2e0c-47dd-bca6-5f7d55d9540b","year":2011},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.210671Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:35e7989505f31401eb0f1984ec1ad7de9287d189febf00d98e5067f2a68c6642","observation_id":"8c360a04-0243-4c43-b1b7-924a2ffa4c28","resolution":{"observed_at":"2026-08-06T19:10:42.621265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"news/3666159","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:10:42.489323Z","title":"https://www.computerweekly.com/news/366615931/ Microsoft-Ignite-AI-capabilities-double-every-six-months (2024)","venue":null,"work_id":"d9fb1547-0f6f-4001-8844-e904ba9744f9","year":2024},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.214999Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:555643435d1ac49f804d137ed5a5a349f07f45cc8e6823c5fa0187399070cb30","observation_id":"41a0924f-95c5-4a74-80d1-2de4f35b5358","resolution":{"observed_at":"2026-08-06T19:10:42.499045Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.05924","last_updated":"2022-03-09T19:30:21Z","snapshot_observed_at":"2026-08-02T03:05:11.554480Z","submitted_at":"2022-02-11T22:42:47Z","title":"Compute Trends Across Three Eras of Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.05924","snapshot_observed_at":"2026-08-06T19:10:42.219131Z","title":"arXiv preprint arXiv:2202.05924 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.219131Z"},"links":{"cited_paper":"/paper/2202.05924","citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:f746079b519bc32e92d4c100ef96d7f3ebc14bee26632b00d5a49628ee5ede25","observation_id":"b2277bc2-5155-4db4-b335-246700763979","resolution":{"observed_at":"2026-08-06T19:10:42.219131Z","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":"2026-08-06T19:10:42.602830Z","title":null,"venue":null,"work_id":"1b1970f7-515a-4b76-ae3f-4f8cc4e857ad","year":2024},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.224049Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:62a37d833cc839d1dadffcdf5a1c2cc77d019e9a1020443c8bd7ff13e0575de2","observation_id":"c49c1233-5694-4fe1-a014-510a1087aa52","resolution":{"observed_at":"2026-08-06T19:10:42.607079Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.588372Z","title":null,"venue":null,"work_id":"31eafde6-668a-464a-8e6a-6899c05ec72b","year":2025},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.228312Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:5ae57c3a1dd2750da66eb22cfda591ea2cd2ae40c5ae6e33c4e1e7475f4d752d","observation_id":"1601a147-3784-460d-9e48-3f60ced74e25","resolution":{"observed_at":"2026-08-06T19:10:42.592274Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T19:10:42.574520Z","title":"https://www.datacenterdynamics.com/en/news/ xai-to-double-colossus-compute-capacity-reveals-cluster-uses-nvidia-spectrum-x-ethernet/ (2024)","venue":null,"work_id":"410c396b-40b5-4e2e-92d2-38f4a69a4c34","year":2024},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.232674Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:e76384c3bcf4cc849b4e5f43a3894065fdd5a1966421e2d4d4ee493644b89287","observation_id":"efec9ee2-acff-4535-beff-a8a41718e99c","resolution":{"observed_at":"2026-08-06T19:10:42.578794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2407.16376","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:10:42.383189Z","title":"arXiv preprint arXiv:2407.16376 (2024)","venue":null,"work_id":"8d2ca779-7154-44ea-b4cc-0453491b6a77","year":2024},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.236919Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:382c961e9d027e50bebbf7b5b0a0b54e40060eeeb0496bd810c13ea9f1cae004","observation_id":"25ad54de-617f-4063-8373-64e597c60473","resolution":{"observed_at":"2026-08-06T19:10:42.390718Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/info9120332","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:10:42.274616Z","title":"Information 9(12), 332 (2018)","venue":null,"work_id":"1664edaa-6d20-4a70-9d5a-fa765ecbd578","year":2018},"citing_paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T19:10:42.242439Z"},"links":{"citing_paper":"/paper/2507.06398"},"observation_digest":"sha256:d610759bfcc04bb6f1d26dd128e5d75e43dcc79366612baf09e037db85220b54","observation_id":"02c7e932-b40c-41fc-921c-f57f67ef84db","resolution":{"observed_at":"2026-08-06T19:10:42.280997Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.06398","last_updated":"2025-07-08T21:03:49Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-06T19:03:27.622725Z","submitted_at":"2025-07-08T21:03:49Z","title":"Jolting Technologies: Superexponential Acceleration in AI Capabilities and Implications for AGI"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":3,"verified_fuzzy":19},"total_outbound_references":30},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2507.06398."}