Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
As of 4 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 100 inbound Pith citation observations for arXiv:2206.04615.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T12:45:26.750295Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T13:57:06.851393Z
Reference resolution
49 of 49 outbound references displayed
- verified exact35
- verified fuzzy3
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch11
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 499806ea-bbf2-4490-bbe7-dd3bcd80cd63 · outbound
This paper cites MathQA: Towards interpretable math word problem solving with operation-based formalisms.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models MathQA: Towards interpretable math word problem solving with operation-based formalisms
Reference 1
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b3f33b82-cb8f-4a1c-8b27-ffb40ba3e906 · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 2
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.505769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5b4d2b85-d7ba-4ca5-b9b0-fe4bed041872 · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 3
- Resolution
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- arxiv_id, observed 2026-05-10T23:26:25.518933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fccc22d1-56e2-4d45-a925-29e86d794ee7 · outbound
This paper cites On the Opportunities and Risks of Foundation Models.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models On the Opportunities and Risks of Foundation Models
Reference 4
- Resolution
- metadata mismatch
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a1c6ef8b-9b33-45a4-9277-21817768be6d · outbound
This paper cites doi: 10.18653/v1/W18-6433.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models doi: 10.18653/v1/W18-6433
Reference 5
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.543638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4146ebab-a66e-4011-adfe-a37e05701b55 · outbound
This paper cites Simplicity: a unifying principle in cognitive science? , volume =.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Simplicity: a unifying principle in cognitive science? , volume =
Reference 6
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T23:26:25.550296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 39fd2b3e-a7a1-45e4-835f-59cb7b62045b · outbound
This paper cites doi: 10.18653/v1/W19-3824.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models doi: 10.18653/v1/W19-3824
Reference 7
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.558222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8a79cc0b-eea7-4202-8267-ea89daf77dd8 · outbound
This paper cites doi: 10.1007/978-3-319-40566-7_4.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models doi: 10.1007/978-3-319-40566-7_4
Reference 8
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.562410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 97543141-53c3-408b-a2a8-81373b042ea0 · outbound
This paper cites overinformative.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models overinformative
Reference 9
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.566922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d0676663-d3ef-47e7-8d71-97e29573918f · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 10
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.574294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bb376dd7-54e5-4a40-be04-f253ea6b370e · outbound
This paper cites Making sense of sensory input.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Making sense of sensory input
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:26:25.843131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2cf03759-18fd-43ff-8cae-3ad10a984262 · outbound
This paper cites doi: 10.18653/v1/N19-1395.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models doi: 10.18653/v1/N19-1395
Reference 12
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.618260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7ca183db-c8a3-481f-af4f-623814213246 · outbound
This paper cites doi: 10.18653/v1/P18-1082.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models doi: 10.18653/v1/P18-1082
Reference 13
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.622610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f6546cd8-dd12-4765-a18e-80c45a3645e1 · outbound
This paper cites Fodor and Zenon W.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Fodor and Zenon W
Reference 14
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.630445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 524977f3-62e1-4c1f-be93-0d118172103f · outbound
This paper cites doi: 10.5555/1625275.1625535.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models doi: 10.5555/1625275.1625535
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:26:25.636170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b2f4698a-62f4-4395-ae66-d47c8c61a3f7 · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 16
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.642596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 903fb3e9-d637-4c24-bcfe-a7d15167bd7c · outbound
This paper cites doi: 10.18653/v1/N19-1061.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models doi: 10.18653/v1/N19-1061
Reference 17
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.648277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5b1d8f6c-a77e-45e7-99c8-776eda943dbe · outbound
This paper cites URL https://doi.org/10.35111/0z6y-q265.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models URL https://doi.org/10.35111/0z6y-q265
Reference 18
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.658135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 761b008f-20c5-4bed-98d1-2e7d43ebf516 · outbound
This paper cites URL https://doi.org/10.1145/1925844.1926423.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models URL https://doi.org/10.1145/1925844.1926423
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:26:25.663352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b87c8db7-c871-425b-aa99-3f54658d6a31 · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 20
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.668517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7ce107d8-6f8b-4a64-bb32-ecb300aed9ad · outbound
This paper cites Henrich, S.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Henrich, S
Reference 21
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.671917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e6a67e0f-d32d-4156-b59e-4aa5616ccb6f · outbound
This paper cites 29) China Household Management Research Center, Ministry of Public Security.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models 29) China Household Management Research Center, Ministry of Public Security
Reference 22
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.679268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f6f6bbaf-1890-4453-b1fb-fc4178b9beb9 · outbound
This paper cites doi: 10.18653/v1/2020.acl-main.164.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models doi: 10.18653/v1/2020.acl-main.164
Reference 23
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.684446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a0c8357e-077c-456f-95f3-fa0a7f76b497 · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 24
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.694224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b6f0dd71-dd83-4cce-9fc7-83a3b29def67 · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 25
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ca22ed36-c860-4d89-9fec-1bb709f5652c · outbound
This paper cites The N arrative QA reading comprehension challenge.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models The N arrative QA reading comprehension challenge
Reference 26
- Resolution
- metadata mismatch
- doi, observed 2026-05-10T23:26:25.703976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 38a947b5-7079-4c93-88ac-6a87896fabc0 · outbound
This paper cites URL https://doi.org/10.1007/s10992-020-09581-6.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models URL https://doi.org/10.1007/s10992-020-09581-6
Reference 27
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.707647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b6e2d620-b30b-4b4c-99d1-bb0b9819d509 · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 28
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.717113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 67137944-82f1-4b14-ae6a-fbc76ee12077 · outbound
This paper cites doi: 10.18653/v1/W19-3005.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models doi: 10.18653/v1/W19-3005
Reference 29
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.723283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 107b8f27-6805-4849-bd17-bf3c36680518 · outbound
This paper cites and Rudinger, Rachel.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models and Rudinger, Rachel
Reference 30
- Resolution
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- doi, observed 2026-05-10T23:26:25.726946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation df711b25-1885-4ae8-aba9-904d944a6714 · outbound
This paper cites Andere zeiten, andere lehren.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Andere zeiten, andere lehren
Reference 31
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.733673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dfcc865a-7bcf-40cd-a00a-7ada0c416117 · outbound
This paper cites 31) David Milne and Ian H.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models 31) David Milne and Ian H
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 49d99f63-600b-47de-9374-a6d684d8fef2 · outbound
This paper cites URLhttps://www.aaai.org/Papers/Workshops/2008/WS- 08-15/WS08-15-005.pdf.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models URLhttps://www.aaai.org/Papers/Workshops/2008/WS- 08-15/WS08-15-005.pdf
Reference 33
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.753871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9d40431e-0780-4aa4-993e-42d853c25105 · outbound
This paper cites The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 20abb63c-278d-4e6e-8a6d-ed8e96ba45d8 · outbound
This paper cites Cohen, and Mirella Lapata.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Cohen, and Mirella Lapata
Reference 35
- Resolution
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- doi, observed 2026-05-10T23:26:25.758060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 980c77ab-506c-44b2-a1d0-7ee1e55d1df4 · outbound
This paper cites doi: 10.18653/v1/P19-1442.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models doi: 10.18653/v1/P19-1442
Reference 36
- Resolution
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- doi, observed 2026-05-10T23:26:25.770353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 596f7243-5571-4f85-b020-89e74078c9ef · outbound
This paper cites URL https://doi.org/10.1080/02724980443000566.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models URL https://doi.org/10.1080/02724980443000566
Reference 37
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.474346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bf6af985-ea02-48ec-849b-ecfbb3a2c1f5 · outbound
This paper cites 32) Judea Pearl.Causality: Models, Reasoning, and Inference.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models 32) Judea Pearl.Causality: Models, Reasoning, and Inference
Reference 38
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.785346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 41bf6c56-66ad-4d39-af61-31d4c40ffc41 · outbound
This paper cites 29) Tony A.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models 29) Tony A
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T23:26:25.881584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51ff55af-49cb-4d4d-9d6e-1e4318f94bfa · outbound
This paper cites 29) Robert Plutchik.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models 29) Robert Plutchik
Reference 40
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.792521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 245e1109-2da1-45d4-a2f6-03e8a52d39b9 · outbound
This paper cites URLhttps://aclanthology.org/2020.lrec-1.125.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models URLhttps://aclanthology.org/2020.lrec-1.125
Reference 41
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.805094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 39592300-ccce-438b-a875-15853f495b46 · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 42
- Resolution
- metadata mismatch
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e4e5305e-3980-4d06-84c8-40c1e1b746b4 · outbound
This paper cites 38) Zijian Wang and David Jurgens.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models 38) Zijian Wang and David Jurgens
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-10T23:26:25.872973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3302fd33-ab6b-4d8c-993a-441d920dcd70 · outbound
This paper cites assessing BERT’s syntactic abilities.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models assessing BERT’s syntactic abilities
Reference 44
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.825599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a492a40f-8a0a-4550-b874-08fb972b1b5a · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:26:25.582688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bfec096c-fe87-4344-b1ab-ee0c9365a972 · outbound
This paper cites (cited on p.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on p
Reference 46
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.587000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2993704c-b483-4fe5-83e6-579323448f3b · outbound
This paper cites (cited on pp.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (cited on pp
Reference 47
- Resolution
- verified exact
- doi, observed 2026-05-10T23:26:25.597303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 09903080-9f60-479b-ac94-9d2368280315 · outbound
This paper cites 31) Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, and Dacheng Tao.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models 31) Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, and Dacheng Tao
Reference 48
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:26:25.604187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fbb6d9ce-4ec6-4ee7-830c-64a5eebb8847 · outbound
This paper cites Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Reference 49
- Resolution
- verified exact
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Source-reported events for the cited work
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Pith citing papers
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Emergent Abilities of Large Language Models cites this paper.
Emergent Abilities of Large Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 10
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Language Models (Mostly) Know What They Know cites this paper.
Language Models (Mostly) Know What They Know Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
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Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them cites this paper.
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 23
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Observation fc9fc5b9-7fca-4383-8567-25f4e0934cd4 · inbound
Large Language Models Can Self-Improve cites this paper.
Large Language Models Can Self-Improve Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 2
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Large Language Models Are Human-Level Prompt Engineers cites this paper.
Large Language Models Are Human-Level Prompt Engineers Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 32
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Source-reported events for the cited work
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model cites this paper.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 141
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Galactica: A Large Language Model for Science cites this paper.
Galactica: A Large Language Model for Science Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
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Observation ba537a72-2496-4e2e-910e-77c977d362ee · inbound
Galactica: A Large Language Model for Science cites this paper.
Galactica: A Large Language Model for Science Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
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A Survey on In-context Learning cites this paper.
A Survey on In-context Learning Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 10
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Progress measures for grokking via mechanistic interpretability Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
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The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 54
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A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity cites this paper.
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 4
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Source-reported events for the cited work
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ART: Automatic multi-step reasoning and tool-use for large language models cites this paper.
ART: Automatic multi-step reasoning and tool-use for large language models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 152
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Source-reported events for the cited work
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Observation e0b65df4-9b71-448a-8545-f725732ae354 · inbound
BloombergGPT: A Large Language Model for Finance cites this paper.
BloombergGPT: A Large Language Model for Finance Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 107
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Source-reported events for the cited work
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Observation 7da3c7be-ee12-4a6d-b4ec-5087c26ba17f · inbound
A Survey of Large Language Models cites this paper.
A Survey of Large Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 72
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ff7e6c23-fc25-4246-bf2a-fecdeafdedf2 · inbound
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 135
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Source-reported events for the cited work
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Observation 3b189186-8328-4d9c-b3ac-e79d18a634c5 · inbound
TinyStories: How Small Can Language Models Be and Still Speak Coherent English? cites this paper.
TinyStories: How Small Can Language Models Be and Still Speak Coherent English? Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 27
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1651c060-1637-4d28-937d-eb8a4fc78425 · inbound
Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.
Towards Expert-Level Medical Question Answering with Large Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 40
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6539ad68-7843-4cdc-9428-3fdda8b441bb · inbound
PaLM 2 Technical Report cites this paper.
PaLM 2 Technical Report Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 255
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Source-reported events for the cited work
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Observation c48315cd-a1d6-454d-9eb1-1eb430b1ae93 · inbound
Evaluating the Performance of Large Language Models on GAOKAO Benchmark cites this paper.
Evaluating the Performance of Large Language Models on GAOKAO Benchmark Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 3
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Source-reported events for the cited work
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Observation 9efdb8f6-6d40-4ddf-9f14-5b160c602898 · inbound
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Improving Factuality and Reasoning in Language Models through Multiagent Debate Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 27
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ae218b2d-079e-4134-93ef-583a70e09dd1 · inbound
Scaling Data-Constrained Language Models cites this paper.
Scaling Data-Constrained Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 110
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
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Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena cites this paper.
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 37
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dac4623a-7cb0-49db-a419-f0ab19f0786f · inbound
Simple synthetic data reduces sycophancy in large language models cites this paper.
Simple synthetic data reduces sycophancy in large language models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 39
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Source-reported events for the cited work
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Reinforced Self-Training (ReST) for Language Modeling cites this paper.
Reinforced Self-Training (ReST) for Language Modeling Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 23
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
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Large Language Models as Optimizers cites this paper.
Large Language Models as Optimizers Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 35
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
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C-Pack: Packed Resources For General Chinese Embeddings cites this paper.
C-Pack: Packed Resources For General Chinese Embeddings Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 54
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
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Baichuan 2: Open Large-scale Language Models cites this paper.
Baichuan 2: Open Large-scale Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 62
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bd11d899-2e47-4818-8557-8e38eaf432fc · inbound
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs cites this paper.
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 51
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Gemini: A Family of Highly Capable Multimodal Models cites this paper.
Gemini: A Family of Highly Capable Multimodal Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 98
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Source-reported events for the cited work
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TinyLlama: An Open-Source Small Language Model cites this paper.
TinyLlama: An Open-Source Small Language Model Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
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Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads cites this paper.
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 114
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Source-reported events for the cited work
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Observation 0cab335d-348b-41e8-b28a-fdcf70ca187d · inbound
KTO: Model Alignment as Prospect Theoretic Optimization cites this paper.
KTO: Model Alignment as Prospect Theoretic Optimization Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 17
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 4b20af0c-c671-447a-8d15-b69f1be61a32 · inbound
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 138
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Source-reported events for the cited work
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Observation 26b56491-f2e6-4bf5-a2ac-0f9180e7a2b1 · inbound
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 124
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Source-reported events for the cited work
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Observation bc9ed97e-d90f-4a90-99fe-84a9c60fcef2 · inbound
LLM Evaluators Recognize and Favor Their Own Generations cites this paper.
LLM Evaluators Recognize and Favor Their Own Generations Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 25
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Source-reported events for the cited work
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Observation 44b0fadf-d768-432a-9d07-5862ff58f81c · inbound
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone cites this paper.
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 22
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Source-reported events for the cited work
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The Platonic Representation Hypothesis cites this paper.
The Platonic Representation Hypothesis Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 162
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Source-reported events for the cited work
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Observation 66bdd477-3ef2-4772-a211-3ee151b39f68 · inbound
Lessons from the Trenches on Reproducible Evaluation of Language Models cites this paper.
Lessons from the Trenches on Reproducible Evaluation of Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 38
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6dc02a4e-23d8-4905-8760-e3009390288a · inbound
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark cites this paper.
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a1a0b8c6-96f0-4693-b834-2bcc59cefcec · inbound
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools cites this paper.
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 37
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 298e6435-eb7e-4b40-96b6-51b5bf4bc50e · inbound
LiveBench: A Challenging, Contamination-Limited LLM Benchmark cites this paper.
LiveBench: A Challenging, Contamination-Limited LLM Benchmark Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f506b820-157b-43fa-9113-400f359ecf1b · 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 Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 12
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3de9ad2b-c6f4-493e-8eee-02f35626dc37 · inbound
In Context Learning and Reasoning for Symbolic Regression with Large Language Models cites this paper.
In Context Learning and Reasoning for Symbolic Regression with Large Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 82
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8b070f90-0ee9-4746-900e-91bf360f1dd8 · inbound
Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models cites this paper.
Dictionary Insertion Prompting for Multilingual Reasoning on Multilingual Large Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 42f5d02c-d974-48c2-8473-d4b4e8d1beab · inbound
A Survey on LLM-as-a-Judge cites this paper.
A Survey on LLM-as-a-Judge Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 137
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 56f5e2ec-d951-42eb-9e15-3fbe4fc8bd70 · inbound
A ghost mechanism: An analytical model of abrupt learning in recurrent networks cites this paper.
A ghost mechanism: An analytical model of abrupt learning in recurrent networks Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 13
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 697f7b4d-c536-4372-a270-c84f7110c643 · inbound
Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) cites this paper.
Small Language Models (SLMs) Can Still Pack a Punch: A survey (updated 2026) Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 120
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T05:52:37.669278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 412b4df4-37e4-4546-8fe9-9d919cadaec1 · inbound
Do generative video models understand physical principles? cites this paper.
Do generative video models understand physical principles? Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T12:47:05.894142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation af5e1950-1d1b-4cf1-9108-b245c7f21bcd · inbound
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 138
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T21:20:59.288892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7ceabc31-aa91-46dd-97e1-43cef4c1a185 · inbound
Humanity's Last Exam cites this paper.
Humanity's Last Exam Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 06984b8b-98b9-438c-aa10-b52545e32b64 · inbound
Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression cites this paper.
Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T04:17:31.211761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a023a95d-9ed1-41f0-8143-ffd0049b7396 · inbound
Towards an AI co-scientist cites this paper.
Towards an AI co-scientist Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 122
- Resolution
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- local_arxiv, observed 2026-05-11T13:02:44.826710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2ad8cbf1-a96d-4bee-a255-1e061f6aeede · inbound
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs cites this paper.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T22:22:28.139480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0ddd7ef1-3f11-48bd-bd19-29aed95615ce · inbound
Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR cites this paper.
Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCR Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T20:32:04.650901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 75e71827-cdf9-4db2-967e-915f3839ce01 · inbound
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 130
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T02:57:38.497701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2361ad68-2484-43e5-966c-7c8206d5f9a9 · inbound
BacPrep: Lessons from Deploying an LLM-Based Bacalaureat Assessment Platform cites this paper.
BacPrep: Lessons from Deploying an LLM-Based Bacalaureat Assessment Platform Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 10
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T11:22:16.448303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 204b904e-2e3c-45b2-8acd-7be9f63e6e8a · 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 Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T09:27:14.679600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation db9e0a50-6b49-499d-8873-ce9c82f4dc3b · inbound
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems cites this paper.
Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 162
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T04:42:04.860990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation efceb3b3-d0ca-4cf2-af61-b6978a548905 · inbound
Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead cites this paper.
Position: Stop Evaluating AI with Human Tests, Develop Principled, AI-specific Tests instead Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T02:12:55.782077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e7d87052-6883-4476-9245-600fb22d3202 · inbound
Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies cites this paper.
Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T20:32:50.792744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f6bd6156-db78-4c68-96ac-890b8f526955 · inbound
Designing Psychometric Bias Measures for ChatBots: An Application to Racial Bias Measurement cites this paper.
Designing Psychometric Bias Measures for ChatBots: An Application to Racial Bias Measurement Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 16
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T22:12:51.645229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e7b4900c-c7d6-4aac-a18f-5b204c5e0ccd · inbound
OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models cites this paper.
OntoLogX: Ontology-Guided Knowledge Graph Extraction from Cybersecurity Logs with Large Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:11:14.049897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cde58f09-7efa-495d-8171-387b557312c6 · inbound
Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting cites this paper.
Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:45:26.750295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80be55b5-0748-45e0-a2ec-247eaa29da5c · inbound
Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation cites this paper.
Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T10:06:13.954720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 319e9b58-67a0-441e-9d78-f2a7366e8fd7 · inbound
Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization cites this paper.
Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:40:58.226873Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3e4bc57-bbd7-42e9-a1b9-7b1ca3204f87 · inbound
The Art of Scaling Reinforcement Learning Compute for LLMs cites this paper.
The Art of Scaling Reinforcement Learning Compute for LLMs Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T16:29:14.034600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 854d13bd-fdbf-443a-a3c1-f9df365e5b8a · inbound
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism cites this paper.
Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T03:05:48.081120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3b88ff94-1e23-46d1-a5ca-4b9005d66098 · inbound
DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning cites this paper.
DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T01:20:34.413999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0c49015a-43ae-444c-bd7e-88131d4a7d83 · inbound
DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning cites this paper.
DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T00:11:52.162655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 783aef56-55e9-4758-a1c9-d04e478c10a4 · inbound
Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners cites this paper.
Towards Real-World Validity in Generative AI Benchmarks: Understanding and Designing Domain-Centered Evaluations for Journalism Practitioners Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 63
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T11:01:17.135129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d7849b73-2840-4e4a-a39d-98d78d63ae77 · inbound
Contrastive vision-language learning with paraphrasing and negation cites this paper.
Contrastive vision-language learning with paraphrasing and negation Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:09:38.915404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9910e596-a17e-4a09-8ee8-bdde9bcf70d5 · inbound
Memory in the Age of AI Agents cites this paper.
Memory in the Age of AI Agents Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 100
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T18:18:20.401592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 8cbe9bf7-32e8-43ca-aa7a-22c6c3e1a805 · inbound
Beyond Context: Large Language Models' Failure to Grasp Users' Intent cites this paper.
Beyond Context: Large Language Models' Failure to Grasp Users' Intent Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:11:13.634496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d1f6dc17-0cf5-437c-a7b8-d7322cc96c0c · inbound
LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems cites this paper.
LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 145
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T12:47:53.638767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 52b1f8f9-cd37-4b3d-9806-07d0c9eaf17f · inbound
When Generic Prompt Improvements Hurt: Evaluation-Driven Iteration for LLM Applications cites this paper.
When Generic Prompt Improvements Hurt: Evaluation-Driven Iteration for LLM Applications Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f21422c-1069-42a7-88db-dca543e86cba · inbound
Mechanistic Evidence for Faithfulness Decay in Chain-of-Thought Reasoning cites this paper.
Mechanistic Evidence for Faithfulness Decay in Chain-of-Thought Reasoning Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 2008
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 272130d4-2c34-4bf2-8dde-3596f4889729 · inbound
RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty cites this paper.
RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c140785b-4a83-416f-b3cd-a0029e39f001 · inbound
Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers cites this paper.
Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:08:42.809515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c0aaf51-26a8-4fba-95cd-e6e0708aa674 · inbound
CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching cites this paper.
CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T21:28:31.091238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04320c7b-90d2-45b4-a803-b26a1c80f824 · inbound
Graph Property Inference in Small Language Models: Effects of Representation and Reasoning Strategy cites this paper.
Graph Property Inference in Small Language Models: Effects of Representation and Reasoning Strategy Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T20:10:18.559695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 301c55de-fbe7-4ca3-b28f-d157955d06e9 · inbound
When Models Know More Than They Say: Probing Analogical Reasoning in LLMs cites this paper.
When Models Know More Than They Say: Probing Analogical Reasoning in LLMs Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T16:52:59.652395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0c175797-94bc-4917-bc83-75eac0c795d4 · inbound
FrontierFinance: A Long-Horizon Computer-Use Benchmark of Real-World Financial Tasks cites this paper.
FrontierFinance: A Long-Horizon Computer-Use Benchmark of Real-World Financial Tasks Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 54d18fb5-ad1e-498f-b34e-6e2e2af628a4 · inbound
Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs cites this paper.
Leveraging Weighted Syntactic and Semantic Context Assessment Summary (wSSAS) Towards Text Categorization Using LLMs Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation addbe7bf-e89d-4757-9468-bbcfaa47bc1f · inbound
The A-R Behavioral Space: Execution-Level Profiling of Tool-Using Language Model Agents in Organizational Deployment cites this paper.
The A-R Behavioral Space: Execution-Level Profiling of Tool-Using Language Model Agents in Organizational Deployment Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T10:41:02.922816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cd5c6406-627a-4879-a478-656a49e76187 · inbound
The A-R Behavioral Space: Execution-Level Profiling of Tool-Using Language Model Agents in Organizational Deployment cites this paper.
The A-R Behavioral Space: Execution-Level Profiling of Tool-Using Language Model Agents in Organizational Deployment Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T21:35:10.173253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec686702-ebf9-4b0b-97e6-cfd86ecedae2 · inbound
Parcae: Scaling Laws For Stable Looped Language Models cites this paper.
Parcae: Scaling Laws For Stable Looped Language Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 74
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T10:21:01.053272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bd2831a6-a122-4d3f-afd0-a44c195896cb · inbound
Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints cites this paper.
Empirical Evidence of Complexity-Induced Limits in Large Language Models on Finite Discrete State-Space Problems with Explicit Validity Constraints Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation faf54622-7ee2-43d9-8b27-785d8f0b568e · inbound
Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) cites this paper.
Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 09f64f09-602a-467d-b4fc-b9500cd8316f · inbound
Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild cites this paper.
Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 57
- Resolution
- malformed identifier
- local_arxiv, observed 2026-05-16T11:27:47.797554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7fcd0e40-c8dd-4b2a-90ed-bdcd4c874f6d · inbound
Measuring Representation Robustness in Large Language Models for Geometry cites this paper.
Measuring Representation Robustness in Large Language Models for Geometry Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T19:38:10.517729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 08069325-db17-4714-995d-f9947b29d698 · inbound
Calibrating Model-Based Evaluation Metrics for Summarization cites this paper.
Calibrating Model-Based Evaluation Metrics for Summarization Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 155
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0a6f6160-40b6-4173-99cf-22707a57ec45 · inbound
Beyond Static Snapshots: A Grounded Evaluation Framework for Language Models at the Agentic Frontier cites this paper.
Beyond Static Snapshots: A Grounded Evaluation Framework for Language Models at the Agentic Frontier Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d6df45f4-c7f2-41e9-8119-468aab917164 · inbound
QuickScope: Certifying Hard Questions in Dynamic LLM Benchmarks cites this paper.
QuickScope: Certifying Hard Questions in Dynamic LLM Benchmarks Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-11T11:56:29.680852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9c0beaa9-fa61-49c3-847b-da814739ba65 · inbound
QuickScope: Certifying Hard Questions in Dynamic LLM Benchmarks cites this paper.
QuickScope: Certifying Hard Questions in Dynamic LLM Benchmarks Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 72c5f6d7-45bc-4714-985c-a48ff089c4f6 · inbound
AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum cites this paper.
AIT Academy: Cultivating the Complete Agent with a Confucian Three-Domain Curriculum Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9f57a9cf-c60c-4b9b-bd09-3b9fd8b18829 · inbound
TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation cites this paper.
TRIP-Evaluate: An Open Multimodal Benchmark for Evaluating Large Models in Transportation Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 5
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 049bb1c8-3a57-416d-af92-7a0377c98006 · inbound
Evaluating Agentic AI in the Wild: Failure Modes, Drift Patterns, and a Production Evaluation Framework cites this paper.
Evaluating Agentic AI in the Wild: Failure Modes, Drift Patterns, and a Production Evaluation Framework Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T17:06:04.431882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5fd3f028-5201-45c2-8662-d19a15e5ce82 · inbound
Complexity Horizons of Compressed Models in Analog Circuit Analysis cites this paper.
Complexity Horizons of Compressed Models in Analog Circuit Analysis Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T16:26:10.460133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 213dbb2c-6a05-4eff-bc1c-29ccfa692f48 · inbound
A Meta Reinforcement Learning Approach to Goals-Based Wealth Management cites this paper.
A Meta Reinforcement Learning Approach to Goals-Based Wealth Management Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Reference 299
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:26:25.883762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.