Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T12:55:41.551478Z
Paper Citation Record · LEDGER
Improving language models by retrieving from trillions of tokens
As of 23 August 2026, this Paper Citation Record lists 100 of 115 outbound references and 61 inbound Pith citation observations for arXiv:2112.04426.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:54:28.445597Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
100 of 115 outbound references displayed
- verified exact11
- verified fuzzy59
- unresolved28
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
297
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation e3502ab8-7d82-4933-ac50-c73e558e07cf · outbound
This paper cites Abadi, A.
Improving language models by retrieving from trillions of tokens Abadi, A
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.939582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cc51de47-80aa-4f98-9c67-3ab8772bc01d · outbound
This paper cites Baevski and M.
Improving language models by retrieving from trillions of tokens Baevski and M
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.948181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3d23e3e5-7a15-4919-a060-f28541a9e315 · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T12:55:41.954032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 73d038d5-d935-417a-bea3-7ef00bdc5b4c · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T12:55:41.957731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f78d2419-b6ad-4f33-b6c4-bf98f5414df6 · outbound
This paper cites Bradbury, R.
Improving language models by retrieving from trillions of tokens Bradbury, R
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.961039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 70ff8f70-5bc8-411d-a417-05eaa2cd1c78 · outbound
This paper cites Brants, A.
Improving language models by retrieving from trillions of tokens Brants, A
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.963602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 53f105d6-91c4-45ac-a28b-5c03bd793d7f · outbound
This paper cites Brown, B.
Improving language models by retrieving from trillions of tokens Brown, B
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.966311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3cf299d9-a133-4fbc-9e66-9ab49faf7b4f · outbound
This paper cites Carlini, F.
Improving language models by retrieving from trillions of tokens Carlini, F
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.968898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f823cf76-250c-405d-88e2-88b31caf9add · outbound
This paper cites Consonni, D.
Improving language models by retrieving from trillions of tokens Consonni, D
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.971223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c4a00337-40e5-4efb-864a-1484d3f1fc78 · outbound
This paper cites Curation corpus base.
Improving language models by retrieving from trillions of tokens Curation corpus base
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.973708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 598cb976-80e0-46d7-abb5-428bd8f1e5ad · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T12:55:41.976397Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 216db9ec-fade-46aa-966a-3aa14a1cc4d3 · outbound
This paper cites Devlin, M.-W.
Improving language models by retrieving from trillions of tokens Devlin, M.-W
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.979835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 572ebb11-cdbd-4ba0-ab46-5987bca4f7ea · outbound
This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.
Improving language models by retrieving from trillions of tokens The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T12:55:41.648189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3191e2e6-e5ec-49d8-83ff-509e05d61e88 · outbound
This paper cites Gehman, S.
Improving language models by retrieving from trillions of tokens Gehman, S
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.982226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d0a75406-5235-471b-88ed-8531dfe0c255 · outbound
This paper cites Grave, A.
Improving language models by retrieving from trillions of tokens Grave, A
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.984523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f7009913-d14d-4b9b-9a09-14e4949e6efc · outbound
This paper cites Generating Sequences With Recurrent Neural Networks.
Improving language models by retrieving from trillions of tokens Generating Sequences With Recurrent Neural Networks
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T12:55:41.693205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 20b6a56b-22b5-4025-8173-b126f5845abf · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T12:55:41.987109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3381c33e-a3a0-46d6-a97f-0ec50f53e1e3 · outbound
This paper cites Accelerating Large-Scale Inference with Anisotropic Vector Quantization.
Improving language models by retrieving from trillions of tokens Accelerating Large-Scale Inference with Anisotropic Vector Quantization
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:55:41.697929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fb725c10-c776-4bca-bce3-2f5752fc4710 · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T12:55:41.989322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 70ad69c3-a3db-4a92-aab0-1e3444ee5601 · outbound
This paper cites Hashemi, H.
Improving language models by retrieving from trillions of tokens Hashemi, H
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.991664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f9f273be-580c-4edb-9c8f-a3e24d656b9e · outbound
This paper cites Hennigan, T.
Improving language models by retrieving from trillions of tokens Hennigan, T
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.994094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e8d44e11-8681-431d-96d7-ce1af7527778 · outbound
This paper cites Izacard and E.
Improving language models by retrieving from trillions of tokens Izacard and E
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.705527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1863d175-9ab3-4eba-be6e-2487bf289a53 · outbound
This paper cites A Memory Efficient Baseline for Open Domain Question Answering.
Improving language models by retrieving from trillions of tokens A Memory Efficient Baseline for Open Domain Question Answering
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:55:41.625899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7204589b-c1b1-4d08-ad0e-242d36a26d5d · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T12:55:41.708848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c855c087-6def-4fe8-8b1c-3834bc833b2b · outbound
This paper cites Exploring the Limits of Language Modeling.
Improving language models by retrieving from trillions of tokens Exploring the Limits of Language Modeling
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T12:55:41.653639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 37117074-fdfb-4ed7-a5a5-1b7908bb911b · outbound
This paper cites Scaling Laws for Neural Language Models.
Improving language models by retrieving from trillions of tokens Scaling Laws for Neural Language Models
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T12:55:41.659390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a98bbd05-9205-4c1b-8e1e-651724bebcc4 · outbound
This paper cites Karpukhin, B.
Improving language models by retrieving from trillions of tokens Karpukhin, B
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.711743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f7640b05-536b-469a-a695-b602b0c0d530 · outbound
This paper cites Khandelwal, O.
Improving language models by retrieving from trillions of tokens Khandelwal, O
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.714685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d4423ffa-dde2-469c-a279-7f2a7e572dd3 · outbound
This paper cites Internet-Augmented Dialogue Generation.
Improving language models by retrieving from trillions of tokens Internet-Augmented Dialogue Generation
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:55:41.618848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e3ef6836-19eb-4ca7-a612-5c68fc31ef76 · outbound
This paper cites Kwiatkowski, J.
Improving language models by retrieving from trillions of tokens Kwiatkowski, J
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.717670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a88e9353-71d8-40fb-bc89-4757123accaf · outbound
This paper cites Mind the Gap: Assessing Temporal Generalization in Neural Language Models.
Improving language models by retrieving from trillions of tokens Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:55:41.630982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 30ed8993-b036-4d07-a819-a5690dcde45c · outbound
This paper cites Latent Retrieval for Weakly Supervised Open Domain Question Answering.
Improving language models by retrieving from trillions of tokens Latent Retrieval for Weakly Supervised Open Domain Question Answering
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T12:55:41.637050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6f6b2f6f-430b-4c3f-a2c0-4cd9358907c8 · outbound
This paper cites Deduplicating Training Data Makes Language Models Better.
Improving language models by retrieving from trillions of tokens Deduplicating Training Data Makes Language Models Better
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:55:41.642631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 84fc3d10-75d9-4372-9d71-13464e006cd1 · outbound
This paper cites u ttler, M. Lewis, W.-t. Yih, T. Rockt\.
Improving language models by retrieving from trillions of tokens u ttler, M. Lewis, W.-t. Yih, T. Rockt\
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.720729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 545b46fc-2f09-41ef-af21-cce78c46fa17 · outbound
This paper cites Lewis, P.
Improving language models by retrieving from trillions of tokens Lewis, P
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.723435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 51ac2658-0386-4feb-9c11-5f7797473a44 · outbound
This paper cites Lieber, O.
Improving language models by retrieving from trillions of tokens Lieber, O
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.726235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 380f523b-75ad-406b-8f5d-8732196429fc · outbound
This paper cites Loshchilov and F.
Improving language models by retrieving from trillions of tokens Loshchilov and F
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.729090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 20d366a7-a81b-4452-87b7-575f7949faf1 · outbound
This paper cites Merity, C.
Improving language models by retrieving from trillions of tokens Merity, C
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.732207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 19de9b6d-d874-4c22-be3c-1614f6e5ed52 · outbound
This paper cites Mikolov, M.
Improving language models by retrieving from trillions of tokens Mikolov, M
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.734963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 27a8e37a-6127-4fab-bcbf-309103b8b16a · outbound
This paper cites Paperno, G.
Improving language models by retrieving from trillions of tokens Paperno, G
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.737492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cd124ac7-2026-48a9-b3b6-19a42d35425b · outbound
This paper cites Radford, J.
Improving language models by retrieving from trillions of tokens Radford, J
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.740086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 88a3351f-6d11-4f49-8e2b-5a10c2d7c099 · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T12:55:41.742694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f62c0741-d427-416b-8543-393f761f90e3 · outbound
This paper cites Raffel, N.
Improving language models by retrieving from trillions of tokens Raffel, N
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.745512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f8b01201-d712-4c72-82e0-fe4f0abdac7d · outbound
This paper cites Rajbhandari, J.
Improving language models by retrieving from trillions of tokens Rajbhandari, J
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.748173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6535a0cb-a9fc-4f01-a725-e5bdb02cf6d7 · outbound
This paper cites Robertson and H.
Improving language models by retrieving from trillions of tokens Robertson and H
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.751435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 13fb1e87-9752-4abc-80b8-48be0335a53d · outbound
This paper cites Schwartz, J.
Improving language models by retrieving from trillions of tokens Schwartz, J
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.754000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation aa35fa9b-c5ea-475f-84da-285eec412023 · outbound
This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.
Improving language models by retrieving from trillions of tokens Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T12:55:41.678018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 92b7653c-bdd7-41be-9ca4-f91c49e2569a · outbound
This paper cites Strubell, A.
Improving language models by retrieving from trillions of tokens Strubell, A
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.756581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a4961f97-f6a9-484e-bb56-f04747104f6d · outbound
This paper cites Vaswani, N.
Improving language models by retrieving from trillions of tokens Vaswani, N
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.759089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a815d16e-266c-46e1-ba19-f4897c8d4a4c · outbound
This paper cites Wei and W.
Improving language models by retrieving from trillions of tokens Wei and W
Reference 56
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T12:55:41.702546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1405bc01-1a53-432b-a160-0fed43fdc653 · outbound
This paper cites Weidinger, I.
Improving language models by retrieving from trillions of tokens Weidinger, I
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.763682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fa5346a4-c3a9-467b-9cfd-e90081a304ea · outbound
This paper cites Yogatama, C.
Improving language models by retrieving from trillions of tokens Yogatama, C
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.767366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cdea33dd-8f9b-4d0f-a381-e95ee051ab20 · outbound
This paper cites Zhang and R.
Improving language models by retrieving from trillions of tokens Zhang and R
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T12:55:41.769918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 43e3703d-ad5c-4b50-ab25-871eab384aea · outbound
This paper cites Zhang, M.
Improving language models by retrieving from trillions of tokens Zhang, M
Reference 60
- Resolution
- verified fuzzy
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Observation 18b22e0b-0af5-47ab-8869-f99ebf2b12f5 · outbound
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Improving language models by retrieving from trillions of tokens International Conference on Learning Representations , url =
Reference 62
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Observation 571823ca-7ab5-4a32-821a-12906b681dae · outbound
This paper cites CoRR , url =.
Improving language models by retrieving from trillions of tokens CoRR , url =
Reference 63
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Observation a35ea506-60ca-44ea-a60c-3f8d81fd5c12 · outbound
This paper cites an unresolved cited work.
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Observation 74092900-f2d0-4002-a439-c87f16176105 · outbound
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Improving language models by retrieving from trillions of tokens and Ng, Andrew Y
Reference 65
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Source-reported events for the cited work
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Observation 4e534e62-43be-4818-8d26-3048577b86a9 · outbound
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Improving language models by retrieving from trillions of tokens Advances in Neural Information Processing Systems , url =
Reference 66
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Source-reported events for the cited work
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Observation d02a535b-0468-4744-8633-ca36ce2b6c60 · outbound
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Improving language models by retrieving from trillions of tokens Journal of Machine Learning Research , volume = 21, number = 140, pages =
Reference 67
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Observation da292220-b31e-4b70-8e24-6d9c28b6b804 · outbound
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Source-reported events for the cited work
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Observation 9d7e0a2d-5fc4-4772-8ecc-644f3772c020 · outbound
This paper cites an unresolved cited work.
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Reference 69
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Observation 3d2ae18f-b459-4f07-a8ee-c6fa76c09fe7 · outbound
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Improving language models by retrieving from trillions of tokens Transformer-
Reference 70
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Source-reported events for the cited work
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Reference 71
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Source-reported events for the cited work
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Improving language models by retrieving from trillions of tokens International Conference on Learning Representations , url =
Reference 72
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Source-reported events for the cited work
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Observation ea1a622a-0af6-4102-a54b-1d7fcdbcdcff · outbound
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Reference 73
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Source-reported events for the cited work
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Observation 27ec570c-bdfd-4048-8893-349299ef1c19 · outbound
This paper cites year = 2020, month = nov, booktitle =.
Improving language models by retrieving from trillions of tokens year = 2020, month = nov, booktitle =
Reference 74
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b2bf7c94-5ef8-47e4-a74a-af785034f3a5 · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 75
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Source-reported events for the cited work
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Observation d0479a37-56eb-440d-b688-de204bed7a5e · outbound
This paper cites an unresolved cited work.
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Reference 76
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Source-reported events for the cited work
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Observation 2592487e-b253-4dea-b5a3-097aec89a270 · outbound
This paper cites International Conference on Machine Learning , url =.
Improving language models by retrieving from trillions of tokens International Conference on Machine Learning , url =
Reference 77
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f69c5165-8d8d-4cf2-b822-57f469831d66 · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 78
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Source-reported events for the cited work
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This paper cites International Conference on Learning Representations , url =.
Improving language models by retrieving from trillions of tokens International Conference on Learning Representations , url =
Reference 79
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Source-reported events for the cited work
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Observation e73af228-773c-4d20-ba28-83c2ef6e8e08 · outbound
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Improving language models by retrieving from trillions of tokens Conference of the European Chapter of the Association for Computational Linguistics , url =
Reference 80
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Source-reported events for the cited work
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Observation 902458cd-0e81-4901-a173-ee22d6b362f5 · outbound
This paper cites an unresolved cited work.
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Reference 81
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Source-reported events for the cited work
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Observation 2c3c468d-e825-4342-a01e-4cd6bf00e39b · outbound
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Improving language models by retrieving from trillions of tokens Scaling Language Models: Methods, Analysis & Insights from Training
Reference 82
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Source-reported events for the cited work
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Observation d171f817-46c4-4b11-a189-00062607c38d · outbound
This paper cites an unresolved cited work.
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Reference 83
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Source-reported events for the cited work
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Observation d2f9afff-c185-4312-b2eb-3c07a4dfc36b · outbound
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Improving language models by retrieving from trillions of tokens CoRR , url =
Reference 84
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Source-reported events for the cited work
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Observation f3d36c21-f9dc-4c4d-8556-79396f21179c · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 85
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Source-reported events for the cited work
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Observation 756dbb45-2397-405a-9370-f6cf58dc5490 · outbound
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Improving language models by retrieving from trillions of tokens Conference on Empirical Methods in Natural Language Processing , url =
Reference 86
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Source-reported events for the cited work
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Observation 6c5b416b-7c19-4e54-9d3c-d525cea5da9c · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 87
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Source-reported events for the cited work
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Observation bbd0eadb-b653-476a-b4da-7ca384a3e325 · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 88
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Source-reported events for the cited work
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Observation 976c7d44-04da-4821-8746-3565aa967826 · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 89
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Source-reported events for the cited work
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Observation 80971e0c-d507-4597-b3e3-65f60048f6b9 · outbound
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Improving language models by retrieving from trillions of tokens Retrieval-Augmented Generation for Knowledge-Intensive
Reference 90
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Source-reported events for the cited work
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Observation 57b06ec8-5743-4864-91ae-4217e9b5703f · outbound
This paper cites Conference of the European Chapter of the Association for Computational Linguistics , url =.
Improving language models by retrieving from trillions of tokens Conference of the European Chapter of the Association for Computational Linguistics , url =
Reference 91
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Source-reported events for the cited work
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Observation b57027e3-9b95-455a-96ab-d35a430db2f7 · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 92
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Source-reported events for the cited work
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Observation 513f6df8-9d19-42f1-af83-16c39b053c4e · outbound
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Improving language models by retrieving from trillions of tokens author =
Reference 93
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 69401f42-e5af-4d9c-8486-478ffaef8cad · outbound
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Improving language models by retrieving from trillions of tokens Megatron-
Reference 94
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 93486146-da72-4e1a-a45a-408f31a21cb9 · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 95
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Source-reported events for the cited work
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Observation 8f474116-d751-4211-b611-8b8fccafc25e · outbound
This paper cites an unresolved cited work.
Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 96
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Source-reported events for the cited work
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Observation a71e78b8-3daa-45fa-a6f0-181c0adf43a1 · outbound
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Improving language models by retrieving from trillions of tokens Unresolved cited work
Reference 97
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Source-reported events for the cited work
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Observation 0109c2fc-df51-46bd-b9ef-4965682656d8 · outbound
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Reference 98
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Source-reported events for the cited work
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Improving language models by retrieving from trillions of tokens The Probabilistic Relevance Framework
Reference 99
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Source-reported events for the cited work
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Observation 7b60ddec-e3ef-4f91-8605-c9e36c2e825f · outbound
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Improving language models by retrieving from trillions of tokens and Etzioni, Oren , year = 2020, month = nov, journal =
Reference 100
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Source-reported events for the cited work
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Observation 3a17acd6-80ca-4bec-8c5b-76c9993d51b0 · outbound
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Improving language models by retrieving from trillions of tokens Retrieval Augmentation Reduces Hallucination in Conversation
Reference 101
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Source-reported events for the cited work
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Observation b23f8372-35db-4e3a-a678-0a75ea0ee10d · outbound
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Improving language models by retrieving from trillions of tokens International Conference on Learning Representations , url =
Reference 102
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Source-reported events for the cited work
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Observation ba3cf91a-04be-43cc-ab79-49d79abe60f9 · outbound
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Improving language models by retrieving from trillions of tokens Energy and Policy Considerations for Deep Learning in
Reference 103
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Source-reported events for the cited work
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Observation dc4a63bd-3799-4820-b150-d37a61332aa9 · outbound
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Improving language models by retrieving from trillions of tokens Popat and Peng Xu and Franz J
Reference 104
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 85d12781-abe0-4d14-9519-3e69df4d9a07 · outbound
This paper cites an unresolved cited work.
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Reference 105
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Source-reported events for the cited work
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Observation 18e662c8-9dfe-4f9e-b086-87755d38c552 · outbound
This paper cites Toutanova and Llion Jones and Ming-Wei Chang and Andrew Dai and Jakob Uszkoreit and Quoc Le and Slav Petrov , year = 2019, journal =.
Improving language models by retrieving from trillions of tokens Toutanova and Llion Jones and Ming-Wei Chang and Andrew Dai and Jakob Uszkoreit and Quoc Le and Slav Petrov , year = 2019, journal =
Reference 106
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
Observation 322d4ed2-3359-46e8-9fdc-5d6dad29c4d8 · inbound
LaMDA: Language Models for Dialog Applications cites this paper.
LaMDA: Language Models for Dialog Applications Improving language models by retrieving from trillions of tokens
Reference 41
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Source-reported events for the cited work
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Observation 803f1c1d-36be-48bc-9a31-2f800888bf35 · inbound
PaLM: Scaling Language Modeling with Pathways cites this paper.
PaLM: Scaling Language Modeling with Pathways Improving language models by retrieving from trillions of tokens
Reference 19
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Source-reported events for the cited work
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Observation 53aecb46-2271-4cbd-89de-c2266841af08 · inbound
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback cites this paper.
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Improving language models by retrieving from trillions of tokens
Reference 4
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Source-reported events for the cited work
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Observation 126a5f02-d8ec-41cc-82e5-e9dfb230a5d6 · inbound
OPT: Open Pre-trained Transformer Language Models cites this paper.
OPT: Open Pre-trained Transformer Language Models Improving language models by retrieving from trillions of tokens
Reference 272
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Source-reported events for the cited work
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Observation a5c447eb-7241-402a-92f5-0947ff3b497b · inbound
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A Generalist Agent Improving language models by retrieving from trillions of tokens
Reference 11
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 65a1d8b9-a720-464e-9997-1351f5d995f4 · inbound
Emergent Abilities of Large Language Models cites this paper.
Emergent Abilities of Large Language Models Improving language models by retrieving from trillions of tokens
Reference 12
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7baf866b-2ae1-45b0-bc38-6e6ca3a36a24 · inbound
Language Models (Mostly) Know What They Know cites this paper.
Language Models (Mostly) Know What They Know Improving language models by retrieving from trillions of tokens
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 58c0673d-22fe-46b1-ac3e-c64a147a87a7 · inbound
Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.
Atlas: Few-shot Learning with Retrieval Augmented Language Models Improving language models by retrieving from trillions of tokens
Reference 74
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5809b6f4-b273-404b-a6bf-163976dbbc24 · inbound
Atlas: Few-shot Learning with Retrieval Augmented Language Models cites this paper.
Atlas: Few-shot Learning with Retrieval Augmented Language Models Improving language models by retrieving from trillions of tokens
Reference 175
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 11c6ec29-cb9c-4375-844c-d3995797c635 · inbound
Galactica: A Large Language Model for Science cites this paper.
Galactica: A Large Language Model for Science Improving language models by retrieving from trillions of tokens
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 59a7c538-4079-4bb8-9e64-3bfb30bed279 · inbound
Galactica: A Large Language Model for Science cites this paper.
Galactica: A Large Language Model for Science Improving language models by retrieving from trillions of tokens
Reference 147
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 52e6d598-17f7-4891-866b-6c80959fdb3a · inbound
REPLUG: Retrieval-Augmented Black-Box Language Models cites this paper.
REPLUG: Retrieval-Augmented Black-Box Language Models Improving language models by retrieving from trillions of tokens
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 94ff6684-d054-4fbc-b45a-9ecd58920b85 · inbound
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes cites this paper.
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Improving language models by retrieving from trillions of tokens
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3e4186f1-f559-47e3-b0fd-175e78f2ef31 · inbound
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval cites this paper.
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval Improving language models by retrieving from trillions of tokens
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ee8b7273-9829-42aa-aa6e-efd1c33d98ab · inbound
On the Effectiveness of Incremental Training of Large Language Models cites this paper.
On the Effectiveness of Incremental Training of Large Language Models Improving language models by retrieving from trillions of tokens
Reference 10
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 451ccffc-dbfd-4fd0-956f-c2342b8383c2 · inbound
One-Shot Multilingual Font Generation Via ViT cites this paper.
One-Shot Multilingual Font Generation Via ViT Improving language models by retrieving from trillions of tokens
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a39618e-2f65-468f-a200-3f4bc4f32f34 · inbound
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval cites this paper.
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval Improving language models by retrieving from trillions of tokens
Reference 2022
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bad00bd-fc83-45bf-a84c-409ef0ed9477 · inbound
From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries cites this paper.
From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries Improving language models by retrieving from trillions of tokens
Reference 18
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6815fd86-d27c-4864-a99b-7d5aac1ccec4 · inbound
Parallel Key-Value Cache Fusion for Position Invariant RAG cites this paper.
Parallel Key-Value Cache Fusion for Position Invariant RAG Improving language models by retrieving from trillions of tokens
Reference 3
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5724d271-a820-4290-9d81-249a1162bafe · inbound
On Storage Neural Network Augmented Approximate Nearest Neighbor Search cites this paper.
On Storage Neural Network Augmented Approximate Nearest Neighbor Search Improving language models by retrieving from trillions of tokens
Reference 2021
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1917f71e-743e-4070-8448-210fc12ae2e0 · inbound
State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence cites this paper.
State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State Persistence Improving language models by retrieving from trillions of tokens
Reference 13
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85138e6b-6168-47c3-91f9-3c8a9cd3d409 · inbound
LLMs to Support a Domain Specific Knowledge Assistant cites this paper.
LLMs to Support a Domain Specific Knowledge Assistant Improving language models by retrieving from trillions of tokens
Reference 57
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eaf6052f-1d8c-4f5b-a1c2-bd1acf3f2ce6 · inbound
Balancing Content Size in RAG-Text2SQL System cites this paper.
Balancing Content Size in RAG-Text2SQL System Improving language models by retrieving from trillions of tokens
Reference 4
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29419495-9e2b-4812-9465-c72895953b6e · inbound
Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages cites this paper.
Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages Improving language models by retrieving from trillions of tokens
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9756baa-30f0-4abe-89ca-9241870fb184 · inbound
A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP) cites this paper.
A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP) Improving language models by retrieving from trillions of tokens
Reference 28
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e52e1e3-612a-44a8-a701-548be122ec2f · inbound
RAN Cortex: Memory-Augmented Intelligence for Context-Aware Decision-Making in AI-Native Networks cites this paper.
RAN Cortex: Memory-Augmented Intelligence for Context-Aware Decision-Making in AI-Native Networks Improving language models by retrieving from trillions of tokens
Reference 24
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 029643cd-8564-46a4-ac3b-c6e1ae84026c · inbound
Vaiage: A Multi-Agent Solution to Personalized Travel Planning cites this paper.
Vaiage: A Multi-Agent Solution to Personalized Travel Planning Improving language models by retrieving from trillions of tokens
Reference 1
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31030fdb-7647-475e-bda6-9ca795455bf0 · inbound
R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model cites this paper.
R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model Improving language models by retrieving from trillions of tokens
Reference 9
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d9d15b4-0330-4a72-b688-a3e5cdaf2059 · inbound
Re-identification of De-identified Documents with Autoregressive Infilling cites this paper.
Re-identification of De-identified Documents with Autoregressive Infilling Improving language models by retrieving from trillions of tokens
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea5c364e-f268-47ae-b36d-845df74912f9 · inbound
MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability cites this paper.
MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability Improving language models by retrieving from trillions of tokens
Reference 59
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a680b8f2-66b5-461f-bb7a-34ed17923cf9 · inbound
Small Language Models are the Future of Agentic AI cites this paper.
Small Language Models are the Future of Agentic AI Improving language models by retrieving from trillions of tokens
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1023a173-3e23-4688-898e-e3af789a16b5 · inbound
Recurrent Memory-Augmented Transformers with Chunked Attention for Long-Context Language Modeling cites this paper.
Recurrent Memory-Augmented Transformers with Chunked Attention for Long-Context Language Modeling Improving language models by retrieving from trillions of tokens
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77db9105-2d22-4760-9d25-91f4dad0a1e7 · inbound
RAVine: Reality-Aligned Evaluation for Agentic Search cites this paper.
RAVine: Reality-Aligned Evaluation for Agentic Search Improving language models by retrieving from trillions of tokens
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b29999d3-f89f-4f7a-a508-8debce5ff7f7 · inbound
A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions cites this paper.
A Systematic Review of Key Retrieval-Augmented Generation (RAG) Systems: Progress, Gaps, and Future Directions Improving language models by retrieving from trillions of tokens
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5bf838ed-08a1-48aa-9277-5e31ff3de06e · inbound
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent cites this paper.
A Multi-Layered Framework for Modeling Human Biology: From Basic AI Agents to a Full-Body AI Agent Improving language models by retrieving from trillions of tokens
Reference 132
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9e2ddec-87fe-4873-8f32-70eb3395e640 · inbound
Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers cites this paper.
Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers Improving language models by retrieving from trillions of tokens
Reference 1
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b020a97-e233-4bb2-a7ab-43a7217e7cfb · inbound
LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain cites this paper.
LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain Improving language models by retrieving from trillions of tokens
Reference 50
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 484e1337-920f-462a-9de1-2a8bdb5244d2 · inbound
Less LLM, More Documents: Searching for Improved RAG cites this paper.
Less LLM, More Documents: Searching for Improved RAG Improving language models by retrieving from trillions of tokens
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 89139d18-c279-49db-8990-353593afc821 · inbound
RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine cites this paper.
RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine Improving language models by retrieving from trillions of tokens
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6cdaae22-2d49-40f1-a856-4dc7e712a8b5 · inbound
A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation cites this paper.
A Unified Model and Document Representation for On-Device Retrieval-Augmented Generation Improving language models by retrieving from trillions of tokens
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f83c6003-1435-4635-97d0-421f2c63bd39 · inbound
KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks cites this paper.
KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks Improving language models by retrieving from trillions of tokens
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 80950199-7fd5-4707-83f9-2b70769ea7de · inbound
When AI reviews science: Can we trust the referee? cites this paper.
When AI reviews science: Can we trust the referee? Improving language models by retrieving from trillions of tokens
Reference 100
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7d25e897-9d36-4f74-9943-908df51fb0c0 · inbound
Reducing Redundancy in Retrieval-Augmented Generation through Chunk Filtering cites this paper.
Reducing Redundancy in Retrieval-Augmented Generation through Chunk Filtering Improving language models by retrieving from trillions of tokens
Reference 4
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c49e066b-aa8c-4be9-9451-92ea0d5c66b1 · inbound
SD-Search: On-Policy Hindsight Self-Distillation for Search-Augmented Reasoning cites this paper.
SD-Search: On-Policy Hindsight Self-Distillation for Search-Augmented Reasoning Improving language models by retrieving from trillions of tokens
Reference 3
- Resolution
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- local_arxiv, observed 2026-05-20T10:03:14.703602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2816c841-cbb5-44b9-8ba1-524bb78afbf2 · inbound
Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning cites this paper.
Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning Improving language models by retrieving from trillions of tokens
Reference 1
- Resolution
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- local_arxiv, observed 2026-05-22T06:11:09.251268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3a3e78d4-e31d-4569-bdad-0557c4947abc · inbound
Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning cites this paper.
Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning Improving language models by retrieving from trillions of tokens
Reference 1
- Resolution
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- local_arxiv, observed 2026-06-30T17:24:56.789918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5693060c-9604-4e68-a01f-506986013e0a · inbound
Tensor Memory: Fixed-Size Recurrent State for Long-Horizon Transformers cites this paper.
Tensor Memory: Fixed-Size Recurrent State for Long-Horizon Transformers Improving language models by retrieving from trillions of tokens
Reference 4
- Resolution
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- local_arxiv, observed 2026-06-29T18:13:48.624905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 04554cb2-4b36-4305-bf64-15b0a261fadf · inbound
Grounded Decoding: Retrieval-Anchored Probability Fusion for Faithful RAG cites this paper.
Grounded Decoding: Retrieval-Anchored Probability Fusion for Faithful RAG Improving language models by retrieving from trillions of tokens
Reference 31
- Resolution
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- local_arxiv, observed 2026-07-01T19:25:59.931226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c395f523-3390-42b8-8917-88a2bcac2920 · inbound
Substrate Asymmetry in User-Side Memory: A Diagnostic Framework cites this paper.
Substrate Asymmetry in User-Side Memory: A Diagnostic Framework Improving language models by retrieving from trillions of tokens
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T10:27:57.054174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9d132024-7392-4158-a40c-fddb89c51e54 · inbound
MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision cites this paper.
MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision Improving language models by retrieving from trillions of tokens
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T17:48:46.017018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7176ad59-9a78-4481-bdfd-c30d314404ca · inbound
PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement cites this paper.
PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement Improving language models by retrieving from trillions of tokens
Reference 54
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T08:59:43.505761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 02b03649-ef47-4f21-ae07-e9c2ff9a426f · inbound
Context Recycling for Long-Horizon LLM Inference cites this paper.
Context Recycling for Long-Horizon LLM Inference Improving language models by retrieving from trillions of tokens
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T08:15:31.535616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ac6c9b03-c696-40a5-9c30-d2abd5addbd8 · inbound
MMLA: How Memory Lets the Past Shape the Future cites this paper.
MMLA: How Memory Lets the Past Shape the Future Improving language models by retrieving from trillions of tokens
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T09:54:35.252447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 03f07247-a7ff-4dff-b992-de648d71236c · inbound
MMLA: How Memory Lets the Past Shape the Future cites this paper.
MMLA: How Memory Lets the Past Shape the Future Improving language models by retrieving from trillions of tokens
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T07:16:45.194991Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46f28500-ad8d-4d1f-b15f-61cc28674982 · inbound
A Hippocampus for Linear Attention: An Exact Memory for What the Recurrent State Forgets cites this paper.
A Hippocampus for Linear Attention: An Exact Memory for What the Recurrent State Forgets Improving language models by retrieving from trillions of tokens
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T13:48:20.310811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0faecb49-1e96-4529-b35f-cc9720f2d520 · inbound
Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering cites this paper.
Healthier LLMs: Retrieval-Augmented Generation for Public Health Question Answering Improving language models by retrieving from trillions of tokens
Reference 20
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-11T00:47:43.197701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5e22a8a7-b5b7-4d31-a814-d9c3e4c28f5e · inbound
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents Improving language models by retrieving from trillions of tokens
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T01:36:44.106151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 05393ec2-5be1-4bb2-bbb9-de456b59d84a · inbound
Knowledge-Centric Self-Improvement cites this paper.
Knowledge-Centric Self-Improvement Improving language models by retrieving from trillions of tokens
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T12:21:55.104315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f77c5765-14da-44dc-a15b-37b3a621dce2 · inbound
GuidedRAG: Semantic Steering of Retrieval-Augmented Generation cites this paper.
GuidedRAG: Semantic Steering of Retrieval-Augmented Generation Improving language models by retrieving from trillions of tokens
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T07:39:14.045411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6341cd5-84a7-4958-8a78-81f96c351f18 · inbound
Same Semantics, Different Paths: Self-Improving Alignment for Vision-Text Compression cites this paper.
Same Semantics, Different Paths: Self-Improving Alignment for Vision-Text Compression Improving language models by retrieving from trillions of tokens
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:05:38.899006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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Squarefree numbers in short intervals: explicit and formalized cites this paper.
Squarefree numbers in short intervals: explicit and formalized Improving language models by retrieving from trillions of tokens
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