{"as_of":"2026-08-20T10:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:befe7f9e1a0c8b1b86be5ee3792b278edbf8a6acad6b2ef1456267f01f7a706b","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:39:38.324195Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.04286/citation-record","integrity":"/paper/2501.04286/integrity","json":"/paper/2501.04286/citation-record.json","paper":"/paper/2501.04286"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.06184","last_updated":"2024-02-09T04:46:48Z","snapshot_observed_at":"2026-08-16T14:20:00.878259Z","submitted_at":"2024-02-09T04:46:48Z","title":"The boundary of neural network trainability is fractal","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06184","snapshot_observed_at":"2026-08-10T21:39:38.259249Z","title":"The boundary of neural network trainability is fractal","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.259249Z"},"links":{"cited_paper":"/paper/2402.06184","citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:ea33a472db9748e4bd6753de0494d1e1194ba390578f39bf5ebe3f94382b9408","observation_id":"0de319b2-f0c5-4213-9eef-8af26bb01d74","resolution":{"observed_at":"2026-08-10T21:39:38.259249Z","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":"2026-08-10T21:39:38.562378Z","title":"Fractals everywhere","venue":null,"work_id":"74cf6d26-1bcc-4696-b852-41230c3d1d20","year":2014},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.264277Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:c61e005d39978501244036eb89f897507caad5e2b309b4a1009167e18b0d207b","observation_id":"2c4db621-eeb7-41f6-a16d-5cfb9a90c62c","resolution":{"observed_at":"2026-08-10T21:39:38.566619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T21:39:38.545157Z","title":"Fractal geometry: mathematical foundations and applications","venue":null,"work_id":"4fca4468-1339-422b-8ca0-af97a3bbf5e1","year":2013},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.268467Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:122b442b6fbb8c2df428966a58bf66beb32049bcfb731add17ff1aab546e38ec","observation_id":"2d232722-613e-4d26-b8c1-53dafd1c8ae5","resolution":{"observed_at":"2026-08-10T21:39:38.550020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T21:39:38.530428Z","title":null,"venue":null,"work_id":"39b76a66-62e4-43b6-9435-dcb4a1385ec4","year":1994},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.273574Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:98b337d6968958d4d66f217cc147c0bb9d03dc2cd728b8ab35558c01171ec0fd","observation_id":"c68fed81-5235-4a88-b7cd-bb62832cfc7e","resolution":{"observed_at":"2026-08-10T21:39:38.534924Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T21:39:38.514423Z","title":"Chaos and fractals: new frontiers of science, volume 106","venue":null,"work_id":"a8914868-092a-400e-ab15-ae31f4014082","year":2004},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.277540Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:7899358d837224e96d85487ded7f3aff03fa0e4babc2c97999ec3f244aae8c9d","observation_id":"6d4f88f8-acc3-4fe2-8d9f-819e8b2e4af3","resolution":{"observed_at":"2026-08-10T21:39:38.520444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-10T21:39:38.283162Z","title":"Kingma and Jimmy Ba","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.283162Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:fc32eecdbc4fbc4c80cc91a26fa7c4fa1d6f81359dac7fae7675cf0e036be4fa","observation_id":"d2a6f768-8f3e-42ee-8d97-10e17313a55f","resolution":{"observed_at":"2026-08-10T21:39:38.283162Z","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":"2026-08-10T21:39:38.498449Z","title":null,"venue":null,"work_id":"e0bdc654-749e-41d4-bbd7-7f6ec419e557","year":2024},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.288746Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:b06b96c01d7ebe1d70c9ba2be09958244b195fb9e7c4714c6276e468b1d91fe8","observation_id":"64c1b5bd-8a77-4b45-8d14-587680064038","resolution":{"observed_at":"2026-08-10T21:39:38.503012Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T21:39:38.483524Z","title":"Gomez, Lukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":"6c2f1563-6892-4bca-92c5-70e33932efd5","year":2017},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.292777Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:813f4e9949fdc5568b7642f3cbd3f7519c119b4ec02302b55a35705c9fe093ba","observation_id":"a3abfa19-0714-43b8-a095-544556dd51f9","resolution":{"observed_at":"2026-08-10T21:39:38.488253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T21:39:38.465130Z","title":"Improving language understanding by gen- erative pre-training","venue":null,"work_id":"340af1cf-ff57-432e-b111-a709982b507a","year":2018},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.296850Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:ef6ea82f32d09fbdfd3476b636f24a380164c66b2310540fb08b65ed56ae1e93","observation_id":"43924027-19c4-4c81-9c38-e8036f8935ea","resolution":{"observed_at":"2026-08-10T21:39:38.469672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T21:39:38.451403Z","title":"Language models are unsupervised multitask learners","venue":null,"work_id":"21c87353-50ad-42c0-a210-9867303bf897","year":2019},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.300856Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:6d776acde2c684da3d515065d8fdfee5212962a5352f69e5508317d3b890d17b","observation_id":"b0bb0346-03c8-4fb8-963e-79e244d150de","resolution":{"observed_at":"2026-08-10T21:39:38.455868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T21:39:38.437563Z","title":"Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D","venue":null,"work_id":"644ca9b8-827a-4d87-aad3-b9b7c4c5677e","year":2020},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.304748Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:4737d91538d70371ba55b8203b2f15378bfa29ede0dcc04d28e062b1912d3257","observation_id":"8acde8bc-9190-46d1-bafd-876b03685a53","resolution":{"observed_at":"2026-08-10T21:39:38.442168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-10T21:39:38.310080Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.310080Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:48c8e10e3386857b5aae4e456e7858923acc70cca1b48fac05bfde26594d387f","observation_id":"877da02f-80c1-48bc-adcc-29077dd86267","resolution":{"observed_at":"2026-08-10T21:39:38.310080Z","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":"2026-08-10T21:39:38.422965Z","title":"Speech-transformer: a no-recurrence sequence-to-sequence model for speech recognition","venue":null,"work_id":"7c243322-177e-431c-88ff-0487c5aa87d5","year":2018},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.315092Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:1f9f915bd704043ace14ba2a248d0848c1e184db65ddd6a0fad054cc9a5d61bd","observation_id":"1af2cb79-2777-482c-b2d2-b1fe22e41d6e","resolution":{"observed_at":"2026-08-10T21:39:38.428592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.00962","last_updated":"2020-01-03T06:53:00Z","snapshot_observed_at":"2026-08-19T04:31:12.196632Z","submitted_at":"2019-04-01T16:53:35Z","title":"Large Batch Optimization for Deep Learning: Training BERT in 76 minutes","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.00962","snapshot_observed_at":"2026-08-10T21:39:38.319433Z","title":"Reducing bert pre-training time from 3 days to 76 minutes","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.319433Z"},"links":{"cited_paper":"/paper/1904.00962","citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:289f51cc780fa33f9ccb6418560c6f06030195a8428bade8e8b15973b9436677","observation_id":"63a69c62-7267-4e37-b04c-f0129c9372f4","resolution":{"observed_at":"2026-08-10T21:39:38.319433Z","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":"2026-08-10T21:39:38.405768Z","title":"The Complete Works of William Shakespeare","venue":null,"work_id":"8a2073e4-8e20-44d3-a1cf-8c1d0ec76a64","year":1994},"citing_paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T21:39:38.324195Z"},"links":{"citing_paper":"/paper/2501.04286"},"observation_digest":"sha256:26e2a61b967b73a30b795f89f41004f0c2a6c1cc66972171a22ed5b7db3b154f","observation_id":"26808fe6-00f7-44fb-b4f3-cb5a6b312d29","resolution":{"observed_at":"2026-08-10T21:39:38.412185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.04286","last_updated":"2025-02-15T01:26:37Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T11:48:36.826994Z","submitted_at":"2025-01-08T05:24:11Z","title":"Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":9},"total_outbound_references":15},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.04286."}