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Paper Citation Record · LEDGER

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning

As of 23 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2505.01110.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.01110 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:30:21.932889Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:33:10.326034Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T00:25:50.474053Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 08375e59-7fa3-40e4-bfbb-864c1b2733eb · outbound

This paper cites URL: " 'urlintro :=.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.679122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.679122Z digest=sha256:8d404a77f9088d4b1b25871e765b2d8cad8b9ddffbb1d585d672fda123ee8e64

Observation 85e243f6-0174-4251-bfbd-46cb9a7bdb84 · outbound

This paper cites write newline.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-16T04:30:21.684815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.684815Z digest=sha256:24da87cf40c51e705ee7a3bf885f4c03ed4d891bcf773883d945bd161a7fe698

Observation b9ca2c5d-245f-43fb-8b5c-af6283acfba6 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 3

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unresolved
no resolver link, observed 2026-08-16T04:30:21.689849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.689849Z digest=sha256:155afe8151e496797e011a9aa6d95f7b298a0e0ecd2b8243cc74b5916a248e43

Observation a6f12b4d-053a-49ed-95dd-5f1f5a31ca81 · outbound

This paper cites Rae, Erich Elsen, and Laurent Sifre.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Rae, Erich Elsen, and Laurent Sifre

Reference 4

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unresolved
no resolver link, observed 2026-08-16T04:30:21.695850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.695850Z digest=sha256:eb70ae20dbc9d6b2a1549e60a08e63e12d9c63ed82fc6f22b4511c99957a9243

Observation 30a62de3-3189-4ca0-9562-09f7622ea324 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.700948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.700948Z digest=sha256:e006bca3ce2f192a06d47dd82a12476ebeb846eb8ad6e9eef02666c6dcd2ae02

Observation d27c6ec1-22f8-4473-8626-c3dc38e0d04c · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.705955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.705955Z digest=sha256:b199b47133beb4d41f1caa3cdf911b53b65a9f2c01230ce70f91cf569f7fea3a

Observation 5862345d-e538-4061-8c7d-5b91aa807dd0 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning PaLM: Scaling Language Modeling with Pathways

Reference 7

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unresolved
no resolver link, observed 2026-08-16T04:30:21.710814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.710814Z digest=sha256:81998f66b02c23af97128310da625a4393a81ae0d17f7fae1a9189f9e7432b9d

Observation 3398fada-2c69-4e37-ad56-518fe0088bd3 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.716055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.716055Z digest=sha256:f9cb271ffba8e04c4c4dcb785fe1bfdc6fd95343eb062a440b68e10a10bb4c28

Observation d24fc9fb-97aa-400d-a85b-a56dd9c0dec3 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

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unresolved
no resolver link, observed 2026-08-16T04:30:21.721606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.721606Z digest=sha256:28dd68e395aa2c25cb4c34880d5b35db07770066f86ba4a9162e377919657b97

Observation ce9a93c8-b968-4f12-94ef-6759218b57a7 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:30:22.550686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T04:30:21.726674Z digest=sha256:b25c9f6393eaebdcb4740504af37f0a18bcd4d8463f61f8af5bb037e552b20cd

Observation 97fa5998-2ca8-48be-aebf-678bd825ff79 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-08-16T04:30:21.731200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.731200Z digest=sha256:142991c5427b662463c15128d54cb11478a13ce7df098006b0d34d7b208e07af

Observation 58b7f2d4-e481-406f-b041-e870f58a8c2d · outbound

This paper cites Uthus, Santiago Onta \ n \' o n, Jianmo Ni, Yun - Hsuan Sung, and Yinfei Yang.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Uthus, Santiago Onta \ n \' o n, Jianmo Ni, Yun - Hsuan Sung, and Yinfei Yang

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.737420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.737420Z digest=sha256:5576a0c519729f9a5307f1805bb71a166e5abd3b0e9ec5ca29484862b4f31ac5

Observation 85c24cd2-2437-46af-9ef0-834b2c9788eb · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.742188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.742188Z digest=sha256:83169de9ed31d6b169aca59e7f9223e25a84d6777a4485afb19b3c7a27b58dc1

Observation dce4a4d8-4cb2-48ff-9763-694bd1166977 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:30:22.535917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T04:30:21.747298Z digest=sha256:ce39002e6f5292e10621cc13340163874fbff57ac2a99757ed86231337c863b5

Observation f18856b0-8160-4e15-baac-e1a2903afb6c · outbound

This paper cites Structured Prompting: Scaling In-Context Learning to 1,000 Examples.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 15

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unresolved
no resolver link, observed 2026-08-16T04:30:21.751878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.751878Z digest=sha256:80abc35cd904444f865f5d2111aa774a3139b633b3bd671bf0d90137aac7f1e4

Observation c52b6720-ee46-41d8-93ae-361c18d8a9fe · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 16

Resolution
verified exact
doi, observed 2026-08-16T04:30:22.237301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T04:30:21.757013Z digest=sha256:ee6f929eb7b6e3b4676d549108efe2d401fd2b38fee98740b7e5c6be777b6ef9

Observation e0c5d41c-7ba7-408b-82e7-1cfc33570955 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.762147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.762147Z digest=sha256:a7e7400ea89402f803372ccac594cbfb061f2aad9361ab43ea9a8cd7fdc9b68f

Observation bbbe3d38-e221-4b8b-9fc1-fed4ac905b52 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.766789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.766789Z digest=sha256:9e387260de668781f310ccdb90079e295eb54541ee34a90d5eed58f73484017d

Observation 12e64191-22d0-462d-a667-a648a3a8e3af · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 19

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unresolved
no resolver link, observed 2026-08-16T04:30:21.771743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.771743Z digest=sha256:53444b9278aed09730b6a6101dd5ef01616e5d17a441099a9b1bdbcfae7a6faf

Observation f986f45a-db69-4f02-b792-26f9bf7114c3 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 20

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unresolved
no resolver link, observed 2026-08-16T04:30:21.776886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.776886Z digest=sha256:eec098fd3aa1cfa1ded6d6553157b0390ff90a4d7d5815bcae1d6d61f8dd6d87

Observation 09231ce6-da2c-43fb-a08e-14ad01fbfe97 · outbound

This paper cites In-Context Learning with Many Demonstration Examples.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning In-Context Learning with Many Demonstration Examples

Reference 21

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unresolved
no resolver link, observed 2026-08-16T04:30:21.781839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.781839Z digest=sha256:d8837333417b07965f33f65a804bf22ab2cdb4a6824d95e81e9f3cb95acc8d59

Observation 02217d8d-869d-4c15-bbac-556dfdb72837 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.787339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.787339Z digest=sha256:c9b51e164f32917b73e72f4d096fada820ffb80f952fd03af1c6a0a954c5410d

Observation 7d3ea06d-4ad1-489e-a7fb-9f0262b39c25 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.792956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.792956Z digest=sha256:a6e0e2a6530b59cdbc027c323cfdfe2ad600acc8d519a6cd1d2b10781a2cfbf7

Observation e645d1cf-b005-4d5a-9d7f-aa6b16a7e68c · outbound

This paper cites Dr.ICL: Demonstration-Retrieved In-context Learning.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Dr.ICL: Demonstration-Retrieved In-context Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.798219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.798219Z digest=sha256:4f43650767c9ea21f0471dca1cbc6821177dacfc14fa455da970ec41403fe79a

Observation 5b0d0bfe-e3aa-48de-a038-50b598342641 · outbound

This paper cites In-context Learning with Retrieved Demonstrations for Language Models: A Survey.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning In-context Learning with Retrieved Demonstrations for Language Models: A Survey

Reference 25

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unresolved
no resolver link, observed 2026-08-16T04:30:21.804015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.804015Z digest=sha256:f60b4822376f95a77781103c584e7be515ae04d2f43f064eb244cbaa4486a43e

Observation c9fbf47f-442a-4544-a13e-8677d7099eb7 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 26

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unresolved
no resolver link, observed 2026-08-16T04:30:21.809034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.809034Z digest=sha256:b6a2045d990e538d6735b933a3df6fd0fe8513449b4c0346e21d448b8b737a2f

Observation 0ccd3e61-8b68-4253-904e-06fa02610974 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.814058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.814058Z digest=sha256:4f77a691fe51f4971a95c1200cf4e773750165d9e7ee7fe7302fafe0e16c7ee4

Observation 6099e69a-c4fb-4d5e-a425-cb4ab4284390 · outbound

This paper cites Smith, and Mike Lewis.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Smith, and Mike Lewis

Reference 28

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unresolved
no resolver link, observed 2026-08-16T04:30:21.819791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.819791Z digest=sha256:4f2e3617c36e83dd162236b646293c30fd49a529c993ebbecc0ec955e2f60406

Observation 5bc2f902-ccdb-494a-9d3e-70dbba3e5cfa · outbound

This paper cites Pre-trained Models for Natural Language Processing: A Survey.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Pre-trained Models for Natural Language Processing: A Survey

Reference 29

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unresolved
no resolver link, observed 2026-08-16T04:30:21.824431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.824431Z digest=sha256:a85bcba7445f1c0c4170d0399ec60c53567ef91c0395fbc7ebb2bfec0b16beec

Observation a6576f5e-13ea-463b-bdb9-ee07559a777b · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.829085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.829085Z digest=sha256:1499f1ad77b8abda13b8a8f724dac03ec180821500876d10a4695ef71711f9cd

Observation 384d291d-02b6-43aa-90ad-b25eb770f7d1 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:21.833864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.833864Z digest=sha256:f1906529926a420dc13d3e9053de59db26bca1ac5706dc92252d34bfd4b6b045

Observation 00c44783-114d-4d9a-b25e-1aad9ec93fe7 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:30:22.491790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T04:30:21.838538Z digest=sha256:f408aba52fb181faa8f06aa245f9188b25a623dbb230a913af732178654142d8

Observation 29e41157-ea5d-4317-a8d3-bdb581bfcb50 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 33

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unresolved
no resolver link, observed 2026-08-16T04:30:21.844035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.844035Z digest=sha256:113aa5a3a3e4b8cfaa11e2828c342b23fc8de468337bd2fdb0b603b6217a78a8

Observation b9a2fd41-a51e-47e2-bf50-301d1e767fa8 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 34

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unresolved
no resolver link, observed 2026-08-16T04:30:21.848626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.848626Z digest=sha256:2703d493af2c591c1cf84365826b5b30f985a968fe7514ac01be1f2ed1c0bb99

Observation 97d15bec-d4a1-42bc-b0fe-e1334c2594e7 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 35

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unresolved
no resolver link, observed 2026-08-16T04:30:21.853920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.853920Z digest=sha256:58761ab9c06dd8f1fedd5f4f2f0f4cc010ef74b1699a9e3d979827ecb46b8fe4

Observation de3cd5f1-5de5-4014-a32d-a7b23a8d35e6 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 36

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unresolved
no resolver link, observed 2026-08-16T04:30:21.859298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.859298Z digest=sha256:f8245b740c18b5fa159ee63fa74a4b5411c609f6c381dea9ffef7a740e44163f

Observation 02a07964-2125-462c-8ff1-9003e2cd6b30 · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 37

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unresolved
no resolver link, observed 2026-08-16T04:30:21.864191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:21.864191Z digest=sha256:7b87dc55472df503a3808882b832dccde80cff4aa3ea9bb8da3ec7734f83d392

Observation a7d4a3dc-9640-43ab-8d1a-aca58d160245 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 38

Resolution
verified exact
doi, observed 2026-08-16T04:30:22.046052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-16T04:30:21.870031Z digest=sha256:eb9fca61cb08ba86cdb320f9c1f43a0f6e63bddff8d8c62056ce4628eb6a3aa6

Observation a47f69b0-0337-40be-b562-98f546a43ac3 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning LLaMA: Open and Efficient Foundation Language Models

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cbb0463d-57da-439b-a2b8-0bd290e60b4b · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 40

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Observation 65e7bad8-7a42-413f-a3eb-67a6debe5b54 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 41

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a4588c03-bd30-4307-8750-773597ff22ac · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 42

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unresolved
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Observation 5eb0551e-f025-4615-b0e6-eaa46f7141d4 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 43

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Observation dc6d3ad1-0e08-4294-93bb-fbeb9dfa2b75 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2e877909-68d2-4d0d-b1c1-528b2be1aae5 · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 45

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 179e5941-c1a1-4672-a162-5e134351ea4f · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 46

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5b7345e1-64a0-4513-9972-c50daeb321d4 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning OPT: Open Pre-trained Transformer Language Models

Reference 47

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Source-reported events for the cited work

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Observation c82cd4b6-2f56-4b16-9455-d92ccc23ec7a · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:30:22.416477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9195eb6a-65e5-406b-b1f3-7529f073d895 · outbound

This paper cites Mittelbach and M.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Mittelbach and M

Reference 49

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 26641908-7bde-408b-ba4e-64596f25cea5 · outbound

This paper cites Gr\"atzer.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Gr\"atzer

Reference 50

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e4b95cdc-2b2f-42db-9dc8-895d924e3a4b · outbound

This paper cites an unresolved cited work.

MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning Unresolved cited work

Reference 51

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

Observation db3ab9d4-ef93-4182-8c10-c28eb325c167 · inbound

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs cites this paper.

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs MateICL: Mitigating Attention Dispersion in Large-Scale In-Context Learning

Reference 1

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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