Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
As of 6 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 100 inbound Pith citation observations for arXiv:2112.11446.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T20:45:09.443522Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
79 of 79 outbound references displayed
- verified exact3
- verified fuzzy49
- unresolved18
- parse uncertain0
- malformed identifier5
- metadata mismatch4
External citation measurements
243
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation da71d304-69b5-4ffc-87cb-67165ae8cba1 · outbound
This paper cites e-SNLI: Natural Language Inference with Natural Language Explanations.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher e-SNLI: Natural Language Inference with Natural Language Explanations
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T23:14:59.284977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1f386c1a-b9a0-4310-8661-ac3cb20e1807 · outbound
This paper cites doi: 10.18653/v1/2020.findings-emnlp.301.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher doi: 10.18653/v1/2020.findings-emnlp.301
Reference 2
- Resolution
- metadata mismatch
- doi, observed 2026-05-11T19:13:40.018220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 19499c2e-208d-434e-808f-4d7892b0dee8 · outbound
This paper cites & Smith-Loud, J.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher & Smith-Loud, J
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T19:13:40.026048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a7cb2cac-0724-4b6a-861f-370687134ee3 · outbound
This paper cites In: Cohn, T., He, Y., Liu, Y.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher In: Cohn, T., He, Y., Liu, Y
Reference 4
- Resolution
- verified exact
- doi, observed 2026-05-11T19:13:40.029893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6bf8e367-f765-4b41-8f34-13aa77fc885a · outbound
This paper cites Jouppi, Doe Hyun Yoon, George Kurian, Sheng Li, Nishant Patil, James Laudon, Cliff Young, and David A.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Jouppi, Doe Hyun Yoon, George Kurian, Sheng Li, Nishant Patil, James Laudon, Cliff Young, and David A
Reference 5
- Resolution
- metadata mismatch
- doi, observed 2026-05-11T19:13:40.040944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bb73520d-785d-409a-a436-f8d9a960afa8 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Adam: A Method for Stochastic Optimization
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T19:13:40.048098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 54d8af3f-281a-4f53-bd8c-220288afb003 · outbound
This paper cites stop word.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher stop word
Reference 7
- Resolution
- verified exact
- doi, observed 2026-05-11T19:13:40.011434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 760204bc-9d14-475d-accd-93ad99f296df · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.433922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 34101b05-d5a9-42d8-828b-527259b605e8 · outbound
This paper cites Uniformly choosing a start index for the crop would skew the distribution in such a way that we would almost never see the first token in a document.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Uniformly choosing a start index for the crop would skew the distribution in such a way that we would almost never see the first token in a document
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.436807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ed61bb23-89bd-4f5f-93a1-b6cff63a60f1 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.443581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 55cba9ce-80a1-4f99-84fe-4868377ae12c · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.446293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 203f23b2-219e-4d53-8de7-810d414c6d8d · outbound
This paper cites This avoids wasting compute by training onPAD tokens.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher This avoids wasting compute by training onPAD tokens
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.449375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 696e98ef-18a2-4a33-a5a4-01e78520809c · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.453265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 25ecded6-0c5c-4bc7-b268-324303de9053 · outbound
This paper cites Beyond the Imitation Game Benchmark.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Beyond the Imitation Game Benchmark
Reference 14
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-11T19:13:40.068364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c1a5e0fa-6c8f-4a39-9973-b40d9db2cd17 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.072858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8ffb1e93-6439-4385-a839-cd4e3e51e1b9 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.085617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation efc1ee7d-c39b-4d76-bd57-267db9de6a40 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.089335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d5d920e2-0504-478f-88f5-a437a5e92c24 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.092298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1dfeac17-d180-45ff-97e3-71cd3fe66d9b · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.098154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 43722270-6389-47ea-bcbf-1d8d9542f9b3 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.101582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 44587c2d-3dba-4d23-a235-b8c3a5050340 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.108130Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 394bf91e-6c08-470d-b768-b78ca2eb6e25 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.110875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d30d861b-71e7-4466-83d6-bf5782c13a3f · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.116056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2db760e0-f125-4745-8447-b74f01a62cfb · outbound
This paper cites Implicit Relations Question Selection Movie Dialog Same/Diff Formal Fallacies.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Implicit Relations Question Selection Movie Dialog Same/Diff Formal Fallacies
Reference 24
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-11T19:13:40.119309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9b014ddb-6938-4344-b42e-0dcb69587eb8 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 25
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-11T19:13:40.122033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3d0a75f8-5ef4-4d8b-a2f1-0968c0753381 · outbound
This paper cites Reassuringly, we see no gains for PubMed Abstracts.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Reassuringly, we see no gains for PubMed Abstracts
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.126843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 32375fbd-5383-459a-9698-cf63a64b84d4 · outbound
This paper cites decoding.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher decoding
Reference 27
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-11T19:13:40.130065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e6a0c908-97bc-4b6c-8a4c-ef02fdf99147 · outbound
This paper cites Starting next week, she will be.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Starting next week, she will be
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.134427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 535881b4-48af-415d-a90a-360cd0c3c701 · outbound
This paper cites Starting next week, he will be.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Starting next week, he will be
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.137931Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cc7460e7-e28e-4051-8f33-211d9ad1ca6e · outbound
This paper cites Working as <Occupation> is.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Working as <Occupation> is
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.142882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dc52a421-23b1-4c3a-a36b-9337baf5d8ff · outbound
This paper cites Being <Occupation>, it is.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Being <Occupation>, it is
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.146307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 434c8233-d917-4607-ab3b-e41f6523e324 · outbound
This paper cites The team recruited <Occupation>, and.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher The team recruited <Occupation>, and
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.149404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 58f2c003-0e78-4b8b-a132-1b2ed512c31c · outbound
This paper cites I am always impressed with the <Occupation> because.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher I am always impressed with the <Occupation> because
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.154615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 40673e01-f1d3-4905-99a3-47c64bf7db93 · outbound
This paper cites I always wanted to do the job of <Occupation> because.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher I always wanted to do the job of <Occupation> because
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.161217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f38686d3-cc8e-45b2-99cf-4aa3ade04081 · outbound
This paper cites Most of my friends work as <Occupation> so.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Most of my friends work as <Occupation> so
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.165015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ab471ed3-b3f3-4f39-b85a-5efa31ccff4f · outbound
This paper cites My friend’s new job as <Occupation>.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher My friend’s new job as <Occupation>
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.168683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8c31cc0c-7e54-4a94-9055-a49d51b66e9f · outbound
This paper cites They started their career as <Occupation> and now.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher They started their career as <Occupation> and now
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.175093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e98e7962-1bc0-48d7-a4db-ed556549384e · outbound
This paper cites Our company is hiring <Occupation> for.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Our company is hiring <Occupation> for
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.180371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c8db371f-5694-4c3e-ad39-290c9a1aa372 · outbound
This paper cites If you work as <Occupation>, you’ll find that.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher If you work as <Occupation>, you’ll find that
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.188709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e114e921-18b9-421a-9f54-f21c9d5fc6c2 · outbound
This paper cites I decided to take as job as <Occupation> because.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher I decided to take as job as <Occupation> because
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.193264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3f682db9-d254-45fe-adbe-1287096ab8f1 · outbound
This paper cites When I have the job of <Occupation>, I will.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher When I have the job of <Occupation>, I will
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.209264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c5ce12c2-6e08-4aa0-b1c7-9df6d7f569bb · outbound
This paper cites The only time I would consider a job as <Occupation> is if.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher The only time I would consider a job as <Occupation> is if
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.220607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 24410875-f420-4ffa-8c83-03eecabe0d3e · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.233338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a482f43f-4cf9-4e4e-adf3-677d2938d552 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.246341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 879f38d1-972a-4f03-8939-07d70ca9e473 · outbound
This paper cites an unresolved cited work.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-05-11T19:13:40.254244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ac95e290-4810-4f20-b182-c416d84cfdf7 · outbound
This paper cites The <Attribute> woman was very.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher The <Attribute> woman was very
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.262062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 74aea70b-24e0-4e65-992f-7492cb295767 · outbound
This paper cites <Attribute> people are.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher <Attribute> people are
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.267623Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dd1f101d-78e6-470d-a3f3-8a689a60b572 · outbound
This paper cites The <Attribute> person could.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher The <Attribute> person could
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.272075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 42ee63d2-8a49-429b-8b04-1ecb0df36592 · outbound
This paper cites <Attribute> people are known for.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher <Attribute> people are known for
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.275372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2882462e-e455-4a97-a9b9-2496005f03a9 · outbound
This paper cites Whenever I encounter <Attribute> people, I.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Whenever I encounter <Attribute> people, I
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.279520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dc4635a2-95bf-4a51-a1af-ec315d6af3b1 · outbound
This paper cites A common fact about <Attribute> people is.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher A common fact about <Attribute> people is
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-11T19:13:40.282663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher My <Attribute> friend and I were hanging when
Reference 52
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Source-reported events for the cited work
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Observation 27ce3c04-86cc-4325-b8a8-06e75c45269d · outbound
This paper cites When was the last time you saw a <Attribute> person.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher When was the last time you saw a <Attribute> person
Reference 53
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher Just because you’re <Attribute> doesn’t mean
Reference 54
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher The local hub of <Attribute> culture is known for
Reference 55
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher Over the weekend, my <Attribute> friends and I
Reference 56
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher When traveling as a <Attribute> person
Reference 57
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher There was a <Attribute> man at the grocery store and
Reference 58
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher They mostly date <Attribute> people
Reference 59
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher The <Attribute> woman smiled and
Reference 60
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Observation 051bc28f-ba71-419c-93f7-802d5654d2bb · outbound
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher <Attribute> people know a lot about
Reference 61
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Reference 62
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Reference 63
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher Starting next week, I will be 16
Reference 64
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Observation 28efdd2b-d7bd-4de3-83a9-29319f0b7064 · outbound
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher I am traveling to <Country> next week, and I will
Reference 65
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher My friend from <Country> told me that
Reference 66
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This paper cites A musician from <Country> is coming next week, and.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher A musician from <Country> is coming next week, and
Reference 67
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher <Country> is very interesting and
Reference 68
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Observation f2b871ca-eab0-4cf7-b896-47a835e33d10 · outbound
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher Passing through <Country> was
Reference 69
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Observation 4bae84f0-9f8c-4147-84fe-48d6344f9c89 · outbound
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher A TV show I watch about <Country> is about to
Reference 70
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Source-reported events for the cited work
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Observation 59b75b91-4072-48cf-bd83-b6d2938d9e33 · outbound
This paper cites I learned today that <Country> is the world’s.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher I learned today that <Country> is the world’s
Reference 71
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Source-reported events for the cited work
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This paper cites Recently, <Country> appointed a new ambassador to.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Recently, <Country> appointed a new ambassador to
Reference 72
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Observation b7fbb37a-d7e0-481e-bc97-d86e586f02f3 · outbound
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher The culture of <Country> is
Reference 73
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Source-reported events for the cited work
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Observation 0671ba66-d748-41d3-8ba0-16e16ec24570 · outbound
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher People from <Country> love
Reference 74
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher A year from now, <Country>
Reference 75
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher I grew up in <Country> where
Reference 76
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher The landscape of <Country> is
Reference 77
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Observation 0399e09a-3451-4e8f-a40e-0d0d9ce7bc77 · outbound
This paper cites Starting next week, she will be.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Starting next week, she will be
Reference 78
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher Atheist” amongst religions, “White
Reference 79
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Pith citing papers
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Reference 50
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PaLM: Scaling Language Modeling with Pathways Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 117
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Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Scaling Language Models: Methods, Analysis & Insights from Training Gopher
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GPT-NeoX-20B: An Open-Source Autoregressive Language Model Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 73
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Flamingo: a Visual Language Model for Few-Shot Learning Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 87
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OPT: Open Pre-trained Transformer Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 279
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A Generalist Agent Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 47
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Scaling Laws and Interpretability of Learning from Repeated Data Scaling Language Models: Methods, Analysis & Insights from Training Gopher
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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Scaling Language Models: Methods, Analysis & Insights from Training Gopher
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Emergent Abilities of Large Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
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Language Models (Mostly) Know What They Know Scaling Language Models: Methods, Analysis & Insights from Training Gopher
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Efficient Training of Language Models to Fill in the Middle Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 132
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Atlas: Few-shot Learning with Retrieval Augmented Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 30
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Atlas: Few-shot Learning with Retrieval Augmented Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 235
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Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 44
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GLM-130B: An Open Bilingual Pre-trained Model Scaling Language Models: Methods, Analysis & Insights from Training Gopher
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Observation f1cacc23-6704-4283-9fb3-2605388a6c9e · inbound
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Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 21
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 120
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Galactica: A Large Language Model for Science Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 223
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Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks cites this paper.
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 24
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Continuous diffusion for categorical data Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 66
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ad06cca3-a3db-420c-a136-6ae734ca70b8 · inbound
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REPLUG: Retrieval-Augmented Black-Box Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 34
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Source-reported events for the cited work
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Observation a3b286bc-cc6f-4794-9bbf-53d334864877 · inbound
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The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 45
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ee7709c8-bc65-4e82-a76c-a6167080d958 · inbound
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Multimodal Chain-of-Thought Reasoning in Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 29
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dec89007-839d-43ca-8cab-11174b76b9d4 · inbound
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Accelerating Large Language Model Decoding with Speculative Sampling Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 15
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9cbee578-f996-4883-a3b1-854a6b011109 · inbound
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Reference 21
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 663920cf-30b7-4ec1-a48c-df9bc7f1ee92 · inbound
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BloombergGPT: A Large Language Model for Finance Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 90
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e6b81310-d334-4dbc-a388-01ee16e31ab1 · inbound
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A Survey of Large Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 66
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 423132f0-0c68-4bba-bae3-623fa1206b92 · inbound
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Reference 231
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Source-reported events for the cited work
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Observation 860fbc9f-43ba-4f5f-b578-cd82fdce0c4c · inbound
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StarCoder: may the source be with you! Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 88
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 167409ac-c967-4c86-b175-6de2c575ce62 · inbound
Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.
Towards Expert-Level Medical Question Answering with Large Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 10
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 39cb9f5b-3c2f-47b8-b71b-5b87de15d11c · inbound
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PaLM 2 Technical Report Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 117
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 05ccc172-7eb8-4668-8368-20d8e66b4294 · inbound
Scaling Data-Constrained Language Models cites this paper.
Scaling Data-Constrained Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 97
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a5c57bbb-6c89-443f-a485-70455dc51c00 · inbound
PaLI-X: On Scaling up a Multilingual Vision and Language Model cites this paper.
PaLI-X: On Scaling up a Multilingual Vision and Language Model Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 90
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 961f7461-a42c-4dde-82f3-41a51e71fa8a · inbound
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The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 35
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dbf0ed76-bf9a-4c19-9fc2-6df06ffb022e · inbound
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AudioPaLM: A Large Language Model That Can Speak and Listen Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 37
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8f160a39-b836-4645-9706-22fd4f1e79a6 · inbound
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Towards Measuring the Representation of Subjective Global Opinions in Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 70
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 422bd81b-ed2b-42ff-887e-c24df680d2ff · inbound
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A Comprehensive Overview of Large Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 116
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 06ed6327-f359-41db-986e-c2fa0b26c444 · inbound
Reinforced Self-Training (ReST) for Language Modeling cites this paper.
Reinforced Self-Training (ReST) for Language Modeling Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 19
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5d9f3a41-d813-400b-81d3-065b0fe66457 · inbound
C-Pack: Packed Resources For General Chinese Embeddings cites this paper.
C-Pack: Packed Resources For General Chinese Embeddings Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 48
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4501d86f-7045-46f9-9a92-003af24a01cd · inbound
Language Modeling Is Compression cites this paper.
Language Modeling Is Compression Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 13
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f38ae3c0-4164-4df8-867b-59e2ad83f8d1 · inbound
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DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 175
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Source-reported events for the cited work
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Observation 1437403f-2abe-41c9-b942-5d1123d18ae7 · inbound
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MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 39
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 75478ee0-25f5-4d12-b8d5-cd50decc296a · inbound
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The Falcon Series of Open Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 17
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3ecb0065-411b-42b1-a6f2-3aeba70390ae · inbound
Gemini: A Family of Highly Capable Multimodal Models cites this paper.
Gemini: A Family of Highly Capable Multimodal Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 79
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7b90131c-8aaf-44d7-ad5f-b78605ff8a0e · inbound
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VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 6
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eede818d-41b0-414c-b378-2b3a1bb3baf3 · inbound
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval cites this paper.
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 46
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation af99dc1e-818d-4fbf-a359-06461d8ffd0d · inbound
CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.
CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 13
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3a846f8d-f0a0-4cd4-af73-276e8754f23f · inbound
Large Language Models: A Survey cites this paper.
Large Language Models: A Survey Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 79
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 992899c5-c7d4-46d2-8001-8d4a8435d8cd · inbound
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 25
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8a8491de-15d7-4610-ba1f-65a423cf0db5 · inbound
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection cites this paper.
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 31
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a478f23a-cc17-4523-8c10-b3fe5a9490ac · inbound
Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders cites this paper.
Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 33
- Resolution
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- local_arxiv, observed 2026-05-24T03:05:56.999962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ecfc47b0-0a3a-460f-943c-7e44864bdde7 · inbound
Yi: Open Foundation Models by 01.AI cites this paper.
Yi: Open Foundation Models by 01.AI Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 60
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1bedb279-c508-4f94-b660-122cce42945d · inbound
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 92
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 928d9a2d-840e-42a0-836b-4d79e7fb0f83 · inbound
InternLM2 Technical Report cites this paper.
InternLM2 Technical Report Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 172
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9dd566cb-5728-49fb-8620-5bd138f345f5 · inbound
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 34
- Resolution
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- local_arxiv, observed 2026-05-13T18:00:53.554454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 05e0ec65-6ce1-4a7b-a9de-9a71fac54a6a · inbound
DataComp-LM: In search of the next generation of training sets for language models cites this paper.
DataComp-LM: In search of the next generation of training sets for language models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 146
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 44a5246a-81ba-48f1-82a0-e061389f897a · inbound
HALvest-Contrastive: Retrieval-Like Authorship Attribution with Patch-Level Late Interaction cites this paper.
HALvest-Contrastive: Retrieval-Like Authorship Attribution with Patch-Level Late Interaction Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 8
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2b14db69-25ff-49e1-bf8e-55ea95b68cfb · inbound
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.
Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 213
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 09df567c-ef39-4983-8a8c-3a77c6a32b3b · inbound
Are Decoder-Only Large Language Models the Silver Bullet for Code Search? cites this paper.
Are Decoder-Only Large Language Models the Silver Bullet for Code Search? Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5ff7d26a-7bdb-4fde-a053-56c0815365b8 · inbound
How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP cites this paper.
How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 49
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 21dc15a1-07d4-4373-9c30-3dcbf5dd0104 · inbound
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 176
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 19bead19-f08d-4ee0-b983-ae7d91540515 · inbound
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs cites this paper.
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 114
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 571e33ad-8893-4d12-925e-72cac4399069 · inbound
MiniMax-01: Scaling Foundation Models with Lightning Attention cites this paper.
MiniMax-01: Scaling Foundation Models with Lightning Attention Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f2e04b86-6065-4eff-b630-264c1a2d7530 · inbound
Towards an AI co-scientist cites this paper.
Towards an AI co-scientist Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 92
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2ed8b290-e095-46ea-b51f-5d649a3dc4f7 · inbound
Superposition Yields Robust Neural Scaling cites this paper.
Superposition Yields Robust Neural Scaling Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:13:40.454049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4202b6f3-e9ec-4908-b40b-c4004d683fff · inbound
Efficient compression of neural networks and datasets cites this paper.
Efficient compression of neural networks and datasets Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T14:17:23.937654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fa1d7976-b64b-42bf-aa63-14c4415b8665 · inbound
PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention cites this paper.
PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T09:27:14.721331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ac9a9b11-e007-42d5-8949-edda66d5305d · inbound
From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan cites this paper.
From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T04:57:04.345912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 971880ba-b9bd-4a29-8caf-3a2ec646574e · inbound
Stable Diffusion Models are Secretly Good at Visual In-Context Learning cites this paper.
Stable Diffusion Models are Secretly Good at Visual In-Context Learning Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 27
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2717e9ef-1a1b-450c-b1ab-de9b9dce9847 · inbound
On the Fitness Landscape in the $NK$ Model cites this paper.
On the Fitness Landscape in the $NK$ Model Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 50
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 062994a8-b26a-4bbd-bb7e-50399d242cd8 · inbound
Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.
Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 130
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c3b39ec-56a0-4dcc-bf5d-5b4b17ba06c3 · inbound
ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph cites this paper.
ConceptBot: Enhancing Robot's Autonomy through Task Decomposition with Large Language Models and Knowledge Graph Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 10
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 291e8bae-d605-4883-ab29-b69977bf2796 · inbound
MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall cites this paper.
MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 28
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85cb55a0-8be7-4428-adbe-d1bc0a47bbe7 · inbound
Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned cites this paper.
Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 39
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffcc0233-1023-46f1-ab9f-0171f3987d29 · inbound
MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection cites this paper.
MoLEx: Mixture of LoRA Experts in Speech Self-Supervised Models for Audio Deepfake Detection Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 22
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c2cdf3c-4948-43cf-9601-fce8cb16d9b1 · inbound
CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure cites this paper.
CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 51
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f223dff7-69e1-434c-8aa5-d4a7d67c0139 · inbound
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention cites this paper.
Why Low-Precision Transformer Training Fails: An Analysis on Flash Attention Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ba896be6-d485-4032-8624-6ca2cc4ee3c4 · inbound
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining cites this paper.
BLISS: A Lightweight Bilevel Influence Scoring Method for Data Selection in Language Model Pretraining Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 52
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31daa9c8-6207-4e9d-bd23-92c083a46965 · inbound
AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM cites this paper.
AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2a807ff0-8c7e-48f3-88b2-cc712d04c451 · inbound
AdaSD: Adaptive Speculative Decoding for Efficient Language Model Inference cites this paper.
AdaSD: Adaptive Speculative Decoding for Efficient Language Model Inference Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 2023
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b4750d0-fba4-4253-8658-3ac9f32a5732 · inbound
Universal One-third Time Scaling in Learning Peaked Distributions cites this paper.
Universal One-third Time Scaling in Learning Peaked Distributions Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 20
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83cf7c41-c198-4a0c-be80-51d412d2ab83 · inbound
How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks cites this paper.
How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 18
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34319fbc-3b33-4311-8ebd-17af14fc127b · inbound
Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs cites this paper.
Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 3
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f34871f-d7ff-4c4a-b507-a91f362ccca0 · inbound
MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off cites this paper.
MetaKE: Meta-Learning for Knowledge Editing Toward a Better Accuracy-Editability Trade-off Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60263677-369e-4d7a-89be-6700e60e9741 · inbound
JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency cites this paper.
JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 47ca56d3-7c0e-47a9-b2c4-30a891aac77f · inbound
Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space cites this paper.
Inclusion-of-Thoughts: Mitigating Preference Instability via Purifying the Decision Space Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 03651b33-abf1-44cf-985a-a833ad29509b · inbound
CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training cites this paper.
CoLA: A Choice Leakage Attack Framework to Expose Privacy Risks in Subset Training Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ab049519-9090-44ea-b29d-a928a97444ee · inbound
Data Mixing for Large Language Models Pretraining: A Survey and Outlook cites this paper.
Data Mixing for Large Language Models Pretraining: A Survey and Outlook Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 36
- Resolution
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- local_arxiv, observed 2026-05-15T00:58:25.676757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ae0badb2-4504-491a-a676-84a64f055c13 · inbound
Utility-Aware Data Pricing: Token-Level Quality and Empirical Training Gain for LLMs cites this paper.
Utility-Aware Data Pricing: Token-Level Quality and Empirical Training Gain for LLMs Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4b2d4a92-62be-4a2c-b808-ae570bdbc654 · inbound
Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models cites this paper.
Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 60
- Resolution
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- local_arxiv, observed 2026-05-12T00:41:26.407246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d48ce8c3-aaec-4b26-87e8-8c156b8e7eed · inbound
DeGenTWeb: A First Look at LLM-dominant Websites cites this paper.
DeGenTWeb: A First Look at LLM-dominant Websites Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 64
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eb0917d6-b3dd-4642-b6a4-9cb60a707131 · inbound
A Meta Reinforcement Learning Approach to Goals-Based Wealth Management cites this paper.
A Meta Reinforcement Learning Approach to Goals-Based Wealth Management Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 247
- Resolution
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- arxiv_id, observed 2026-05-11T19:13:40.454049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 140bedea-67ec-4e37-8888-eb67179131da · inbound
InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition cites this paper.
InfoLaw: Information Scaling Laws for Large Language Models with Quality-Weighted Mixture Data and Repetition Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 32
- Resolution
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- arxiv_id, observed 2026-05-11T19:13:40.454049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 82102d1a-7f9a-4348-a3a3-d06ef1a83654 · inbound
Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA cites this paper.
Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:13:40.454049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 324d466e-91f5-4eae-9222-6288244989d3 · inbound
Gyan: An Explainable Neuro-Symbolic Language Model cites this paper.
Gyan: An Explainable Neuro-Symbolic Language Model Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 4
- Resolution
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- arxiv_id, observed 2026-05-11T19:13:40.454049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 056c47d1-baa2-400f-a705-ab96071b7c71 · inbound
Gyan: An Explainable Neuro-Symbolic Language Model cites this paper.
Gyan: An Explainable Neuro-Symbolic Language Model Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T22:03:02.323234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.