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Paper Citation Record · LEDGER

Gemma 2: Improving Open Language Models at a Practical Size

As of 10 August 2026, this Paper Citation Record lists 100 of 129 outbound references and 100 inbound Pith citation observations for arXiv:2408.00118.

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

pith.paper-citation-record.v1
2408.00118 v3

Coverage vector

measured 100 of 129 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T12:11:16.326752Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 100 of 803 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:03:26.074529Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 129 outbound references displayed

  • verified exact29
  • verified fuzzy49
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch16

External citation measurements

134
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 25af42fc-7c75-4f90-9de3-29da6257dc27 · outbound

This paper cites Agarwal, N.

Gemma 2: Improving Open Language Models at a Practical Size Agarwal, N

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.626406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:572af12795e27bec41f9429e9f1225c48161f1e3b4bd381c456e79e0e4bc6766

Observation 940aec53-6b16-4721-94cb-b835917741a5 · outbound

This paper cites Llama 3 model card.

Gemma 2: Improving Open Language Models at a Practical Size Llama 3 model card

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.631008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:fb88c0d477a0ff000e209c9f70dacc377e86af2439a8a087258ccabea5890afe

Observation 77e025f9-3c42-4395-a130-43b2a6840998 · outbound

This paper cites Almazrouei, H.

Gemma 2: Improving Open Language Models at a Practical Size Almazrouei, H

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.633250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:1f9fcd2455bfc726734d05881b1b50b6cc1b58111a9822f84943fcaf02bd9b0c

Observation b8fd7b7f-86bf-495b-90f2-8d1d98e9edef · outbound

This paper cites Barham, A.

Gemma 2: Improving Open Language Models at a Practical Size Barham, A

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.635172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:4e1fb90ff0f8228272078e52ee778c67237c4dffc25a0a5c9ff6bff621702ece

Observation 5b7ea650-c76e-4394-98b5-1d9aea6a1ea7 · outbound

This paper cites Chiang, L.

Gemma 2: Improving Open Language Models at a Practical Size Chiang, L

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.637795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:725ea5d97ddf1ef6b6e5cfeb368a68dec052a5bf557f107b57065dbe06b70895

Observation 74fd6fc0-7f9e-4051-8c5f-5f5019460d88 · outbound

This paper cites Gemini: A family of highly capable multimodal models.

Gemma 2: Improving Open Language Models at a Practical Size Gemini: A family of highly capable multimodal models

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.640031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:91ba0d2dfad0d0d4b25ad436fb914df7ee4980facc9a2acb30c08b8465a6d584

Observation a19e0f6f-49bd-4790-b293-6e0ff125742c · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Gemma 2: Improving Open Language Models at a Practical Size Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.642378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:5fc82e5c8f1f1bfab93fdf4235937d33b45add9d504e8efc98fa2a48a4c0c8d6

Observation 7f543331-2f44-42c4-99b1-f67d2d6a9339 · outbound

This paper cites Gemma: Open models based on gemini research and technology.

Gemma 2: Improving Open Language Models at a Practical Size Gemma: Open models based on gemini research and technology

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.644587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:ec6948bba2fa0989d25d0539104f18225a984e62bfad1d3a6a8ada354cdd1a01

Observation 087746ad-ffcd-43d5-a87b-108c99461ded · outbound

This paper cites an unresolved cited work.

Gemma 2: Improving Open Language Models at a Practical Size Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-05-10T12:11:16.646841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:423f84e85ac28b927042cf834aa32a9e8755b0f0f10675c5b9febc65c960f6c9

Observation 63d14a7a-c3d3-400d-a6bd-429a0c18fd7f · outbound

This paper cites an unresolved cited work.

Gemma 2: Improving Open Language Models at a Practical Size Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-10T12:11:16.649062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:ee36d71b0902743100ee7cfff157c68cb2eb201b4de5df51d585edd769911aa1

Observation ed8576da-9801-4d39-88fe-af3cddc4cab2 · outbound

This paper cites LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models.

Gemma 2: Improving Open Language Models at a Practical Size LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.385993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:9eb079bb803fc4f92fc02d05d84f3a67c72c130ae8c70d89467e17eb2cfc0ea4

Observation 616b96ab-7631-4454-8025-141bf720e352 · outbound

This paper cites Evaluating Language-Model Agents on Realistic Autonomous Tasks.

Gemma 2: Improving Open Language Models at a Practical Size Evaluating Language-Model Agents on Realistic Autonomous Tasks

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.499532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:231b8e28b2d0b729dce3852659256ca6715f7751e4b4839bad330bc1b1a79aa2

Observation 95b9f052-0830-47c2-abb9-c843a7efaaf8 · outbound

This paper cites Malla: Demystifying Real-world Large Language Model Integrated Malicious Services.

Gemma 2: Improving Open Language Models at a Practical Size Malla: Demystifying Real-world Large Language Model Integrated Malicious Services

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.506166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:206066cc9f445dc543bb18c42b19a5b86f0d60f9cf9551a839ddf9ec2903cccb

Observation cd13ae36-3683-44b3-ab72-909740377178 · outbound

This paper cites Personal Communication.

Gemma 2: Improving Open Language Models at a Practical Size Personal Communication

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.651479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:cc5f30444898a62a6e5df31298a23680c2b0de472ed511ebdb7f61b473e3a67f

Observation 9d38056d-d606-4828-a1ae-45813202265b · outbound

This paper cites Towards Agile Text Classifiers for Everyone.

Gemma 2: Improving Open Language Models at a Practical Size Towards Agile Text Classifiers for Everyone

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.393672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:126722525ce9c589ddcb842d3579c9468b5b179e0f99b5449d1792ed6ec9f1a1

Observation 5e4744a9-9afb-4475-8606-520bfe93d33a · outbound

This paper cites Evaluating Frontier Models for Dangerous Capabilities.

Gemma 2: Improving Open Language Models at a Practical Size Evaluating Frontier Models for Dangerous Capabilities

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.476742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:8422d7d2aeb6ba48bc1891992672cd3df01fa0a104b1bdd486be4b24f1011aaa

Observation 2e09a5af-9844-41f3-af18-4fbffc2ffb2a · outbound

This paper cites Radford, J.

Gemma 2: Improving Open Language Models at a Practical Size Radford, J

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.653634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:d66ee455ca03776cb247dab07304a8d04583d8588e33060994810ff28445a1c4

Observation dcce3ec5-f3a8-45e0-89d0-95753eae523b · outbound

This paper cites an unresolved cited work.

Gemma 2: Improving Open Language Models at a Practical Size Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-10T12:11:16.655942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:15d61789567e22efb122dcf1d59abf63a92d6828379f824b925ff7f871244217

Observation ef240f71-e3b6-4904-a401-3f617529f224 · outbound

This paper cites an unresolved cited work.

Gemma 2: Improving Open Language Models at a Practical Size Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-10T12:11:16.658225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:507ecc72ce4fe82dfbdce6a67d258f6ca4aa1becd26e3bcbead1217c3404cdde

Observation eb25ba8c-c80e-435f-ab39-804b44e1c2b3 · outbound

This paper cites Roberts, H.

Gemma 2: Improving Open Language Models at a Practical Size Roberts, H

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.660715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:28457d876e8f803f74dc7cadf4f342337fc92511d459f2aff7a854cd86265ade

Observation 5c16d358-cca0-46ce-8ba2-7bc8d01dac6a · outbound

This paper cites Model evaluation for extreme risks.

Gemma 2: Improving Open Language Models at a Practical Size Model evaluation for extreme risks

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.458916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:941630b3dbef94d498b6f4ba17a923ba6df65fdae2aae89f18ed8c2459ea1bac

Observation 1f7755f0-4858-4c1d-a801-bb28689f88d7 · outbound

This paper cites Suzgun, N.

Gemma 2: Improving Open Language Models at a Practical Size Suzgun, N

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.663080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:3019b1b6c7b27b258612ec80e56111dca65e346305e708b5d3d5b866fb4ce361

Observation bf103e76-a33f-4375-ad3d-83506a411e64 · outbound

This paper cites an unresolved cited work.

Gemma 2: Improving Open Language Models at a Practical Size Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-10T12:11:16.665323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:9413cdeaaae51680cf0992d23435936fc0a8601a2e11102bfcc3fee05ec19ef1

Observation 1c007b96-6730-4b2b-b2a9-480de912e31d · outbound

This paper cites The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models.

Gemma 2: Improving Open Language Models at a Practical Size The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.502612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:8482493df7930032baaacd480a47ebfbc721c4c3c4682044aa3d22ea90d207f0

Observation 7b36af60-a665-4225-8289-065b0176f77e · outbound

This paper cites Touvron, T.

Gemma 2: Improving Open Language Models at a Practical Size Touvron, T

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.667830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:7868719c4a786fee3feba31ef02980affa27353446120501f08de03a7bdef812

Observation 3026e579-659b-4350-ab4f-4aa1f50f81e1 · outbound

This paper cites grok-1.

Gemma 2: Improving Open Language Models at a Practical Size grok-1

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.670352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:0da7b4457622af4b7e32a0600226bd53ff719d56909e90bf86012be44ddec3a4

Observation 501919f0-6f56-45ca-8aa4-a89c7f64aecf · outbound

This paper cites Xla: Optimizing compiler for tensorflow.

Gemma 2: Improving Open Language Models at a Practical Size Xla: Optimizing compiler for tensorflow

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.672576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:d89ade385bad94e1446526014aa3e4bce51a680cc3b1f9b4f3cd2aa63ff15de4

Observation c7fad0a8-726e-4417-be4f-a7eba076ae48 · outbound

This paper cites InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback.

Gemma 2: Improving Open Language Models at a Practical Size InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.397576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:46c0bf8dc017ca9aa5b8316a2926855cbf7efe4d87091c56a7cd9105dda232d9

Observation 8f8a465d-4230-4496-adab-51637e406341 · outbound

This paper cites Neural Combinatorial Optimization with Reinforcement Learning.

Gemma 2: Improving Open Language Models at a Practical Size Neural Combinatorial Optimization with Reinforcement Learning

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:11:16.419147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:046607e8b5ed24251e5cabfd1397251342e84dcf2d82eb4c6d694043d4821f2e

Observation e16a6ce6-3e52-4788-96cd-56d1c7a9394d · outbound

This paper cites Concrete problems in.

Gemma 2: Improving Open Language Models at a Practical Size Concrete problems in

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.674897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:60aa69aee8ea8f6a8fb1f2f34c4186f42587f238c7f34fde933f3b2ecaf5e465

Observation e81f3096-2659-4f3d-8a00-8a76f9250c16 · outbound

This paper cites Quantifying Memorization Across Neural Language Models.

Gemma 2: Improving Open Language Models at a Practical Size Quantifying Memorization Across Neural Language Models

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T22:04:59.782633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:205e220be20af99f62e8535acb71e630af1f76451ef0f5581a0c899a47ddb04d

Observation 38642a91-d54f-4b95-8067-3f1670372518 · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

Gemma 2: Improving Open Language Models at a Practical Size Scalable Extraction of Training Data from (Production) Language Models

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T19:00:47.082021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:16b5611c3707a9535beffdf0b9625c1dbc34b4fd7cc5dee0999f3213e70dfa59

Observation 08e5c942-7847-455b-9d33-235a29e29771 · outbound

This paper cites 30th USENIX Security Symposium (USENIX Security 21) , pages=.

Gemma 2: Improving Open Language Models at a Practical Size 30th USENIX Security Symposium (USENIX Security 21) , pages=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.677146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:226c707bb83af011490081b15560cbd3c15229068a04252c7532dd298a4cf316

Observation 6957b76d-db48-4436-828b-c07a5542ca39 · outbound

This paper cites Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy.

Gemma 2: Improving Open Language Models at a Practical Size Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:11:16.492729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:216798c27cc49fe5e5f581b1170e2383121384221d354e4d7255e2dfc2b6845a

Observation 99d958ca-fe43-46f7-83de-4e36a0fd134c · outbound

This paper cites MADLAD-400: A Multilingual And Document-Level Large Audited Dataset.

Gemma 2: Improving Open Language Models at a Practical Size MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:11:16.495999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:7eaad8a92bbc5042f5e71e1e016eb429caa71b349ad031ddfea00f952404d04f

Observation a2675556-ffc7-4f0c-a0c3-95e686d48112 · outbound

This paper cites NeurIPS , year =.

Gemma 2: Improving Open Language Models at a Practical Size NeurIPS , year =

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.679414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:ae20f192f0991385656d33014ad08be6bfc561c2d560fba6c5b9f0c69c0b05f4

Observation 32cce3e2-4dd8-4c29-b4d2-cddaca795d93 · outbound

This paper cites 2023 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2023 , eprint=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.681553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:42b2ff6ba72f92cdc1c42e15987aa04c33caf54b53fde6a8c5572b0a74e9c01a

Observation b0604a0b-6204-444b-9e2c-911b72e14f22 · outbound

This paper cites 2022 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2022 , eprint=

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.683587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:3290ab323c76ba2bd2ed13b086545b0addbfb6d3bf1c2247f1cd7ad8e2064bb1

Observation ed18ddde-3f4f-4ac4-9adc-8f908d4b0319 · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Gemma 2: Improving Open Language Models at a Practical Size A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T18:23:45.262282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:63a46f107ea01eac93c1bcd82ed85e420341a3433cafb6565a220e937789dde7

Observation 0c65bfec-1f31-4e47-a055-e2d26b380999 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Gemma 2: Improving Open Language Models at a Practical Size GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 70

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:53:59.644169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:6b36da2d9c596584be3cf849edcb12edb4886c0c8e2713c25569fd89886863f0

Observation b4d8f6dd-a4ad-4c80-b38a-a7c82448d183 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Gemma 2: Improving Open Language Models at a Practical Size Training Compute-Optimal Large Language Models

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T16:01:32.444768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:3db666c978555321253129276e2eca594702f6e8cde9cf43df3a7f34248637ee

Observation 234dfa51-a7ff-42fe-ab4f-ae7bb0399b69 · outbound

This paper cites Mastering the game of.

Gemma 2: Improving Open Language Models at a Practical Size Mastering the game of

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.685601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:99c448c658e84faf26cdd0a838969a50d3bba6599c87a31b6325f76ea12fe537

Observation 6b2cc0df-d176-4651-b560-178f03f10458 · outbound

This paper cites Proceedings of the 50th Annual International Symposium on Computer Architecture , pages=.

Gemma 2: Improving Open Language Models at a Practical Size Proceedings of the 50th Annual International Symposium on Computer Architecture , pages=

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.687905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:6089b4e4d05fa88293d5a206f86f11d3352a375d3ea901a599ee17f922d963af

Observation 9216a802-26ca-4441-97e0-19232b5ac8fb · outbound

This paper cites 2023 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2023 , eprint=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.690078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:807b6355b991792c2fb6ea4fa1c68b0abee1b668832f561717b6028711d4009e

Observation e5e358ef-9e8a-44c2-838d-06cc71f0f6ea · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.

Gemma 2: Improving Open Language Models at a Practical Size PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-17T14:55:18.098549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:1dd1b1ab85a633d572ff330e477e1d66bc604376dc4970f720e521cb6ea6ace9

Observation 2a476dd5-d428-4429-b743-b6cea75a71b1 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

Gemma 2: Improving Open Language Models at a Practical Size SocialIQA: Commonsense Reasoning about Social Interactions

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:22:26.192007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:05422bf53d218d0dab221a4402c3cb4a7488e0f202e8582bf94420aefa39ef29

Observation 51d1d710-4d57-43b1-b640-ea370ab44197 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Gemma 2: Improving Open Language Models at a Practical Size BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-13T09:46:19.833273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:55db9dc85f69f127ea1ebe70ebc5e6e87efeda337b696d7088c76eb6e4d00feb

Observation cd33e9ad-f1df-4304-8ecf-3fd12fcf32ec · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Gemma 2: Improving Open Language Models at a Practical Size Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 79

Resolution
verified exact
doi, observed 2026-05-10T12:11:16.378030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:7e5879f45e780c9bb8bec01102a102eda5ee081bcfa0dfdad9d9543bbf2a36a4

Observation a6b9bd1f-a060-490d-88fd-d673099d149a · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Gemma 2: Improving Open Language Models at a Practical Size Measuring Massive Multitask Language Understanding

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:43:44.770948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:e9e757fffab84ce50005fc6e299e6c2708f98e6d34055ce54fc5645afc9648a9

Observation 3ff01e58-50d6-45bb-9d85-beb7473494b1 · outbound

This paper cites Program Synthesis with Large Language Models.

Gemma 2: Improving Open Language Models at a Practical Size Program Synthesis with Large Language Models

Reference 81

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T12:11:16.415038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:0b87ca60d3f971ff6c62fbe9b0ed737a057e0786cbfebb5398c4d98a3ad1a14e

Observation 2c139ecd-9c16-4049-bcbe-3d41618db13d · outbound

This paper cites an unresolved cited work.

Gemma 2: Improving Open Language Models at a Practical Size Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-05-10T12:11:16.692377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:56ac5f1db45033547b33212d59eadf6f87cb300f6bcf7714d697b9e06588cd2b

Observation f11d48cd-60fd-4ece-afcb-dda0532df0b5 · outbound

This paper cites GPT-4 Technical Report.

Gemma 2: Improving Open Language Models at a Practical Size GPT-4 Technical Report

Reference 83

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T12:11:16.422721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:6db133b1454cf9a62cc7f1a039160349116a52919b0f5aae0fee6575b7572564

Observation 46c9fca2-a6cc-4520-8c86-fd288fbaeef1 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Gemma 2: Improving Open Language Models at a Practical Size Evaluating Large Language Models Trained on Code

Reference 84

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:11:16.429614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:ca3ddad65e34574211e132c2c5bff28107e5402b2500dfd4a14100f060c68c79

Observation 8ead0a5e-f2a5-4a06-a710-bd1cd1e33ed9 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Gemma 2: Improving Open Language Models at a Practical Size Training Verifiers to Solve Math Word Problems

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:11:16.436959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:5b9fb86e60e6c66f03fdb94afa8112100f9bebcc469604e584d7fe7cab741c6e

Observation 4ec7bf5b-f300-4454-a399-5dababc0c52e · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

Gemma 2: Improving Open Language Models at a Practical Size WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:20:15.117976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:11d663c5c990a90dde3480ee3a0edcdd108879c7959bb3502276c63bc262ef7e

Observation 4241c53f-ef2d-49ff-bdea-a311f0685c4e · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

Gemma 2: Improving Open Language Models at a Practical Size The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.451267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:07cd87899de996ba55e67c3338fe2363ee80d60f8214e2542579d00d5323c870

Observation 67d00269-6d01-4e7d-a3bc-f99b33695569 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Gemma 2: Improving Open Language Models at a Practical Size TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 88

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:00:28.883814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:a22468da0cb7de943152e07548a03c57d7d2b48da8115dffbd08e85721813e91

Observation e41bb05e-6735-4b23-8e76-f7ea69b3bdaf · outbound

This paper cites 2023 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2023 , eprint=

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.694858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:dedd7bc611d7961633e1ad249262b46471365946901f5e6f867440aa51536397

Observation e4c9c86c-7620-4902-9d4b-c5b797110018 · outbound

This paper cites 2023 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2023 , eprint=

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.697527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:70ca80f69af254734094c326a5b2e49718d1ccc5a730c7ddb19cc8a1c0871607

Observation e815344c-cae3-409f-8948-bd2d638c8ce4 · outbound

This paper cites 2023 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2023 , eprint=

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.700054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:35115bcfaf71ba4e13571c982da0aae8ddfe8177d7a7d16f75faaf6677480b1d

Observation c90255cd-c6b7-4db0-94d2-9e01d217e070 · outbound

This paper cites 2023 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2023 , eprint=

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.702463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:d76465c84e8a04e2ca2f9eb44ad4e79a8287890b3a4a351465abd7b9bba35989

Observation 3317a70f-69f1-4404-b3dd-3070aad4fdf1 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

Gemma 2: Improving Open Language Models at a Practical Size Textbooks Are All You Need II: phi-1.5 technical report

Reference 93

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:18:01.425637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:7b101726f771274d8a46456660314329d1a48496c996420d184e36287be65448

Observation feb83365-ebd2-4eb6-bc8f-2dc51ec62687 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Gemma 2: Improving Open Language Models at a Practical Size Distilling the Knowledge in a Neural Network

Reference 94

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T12:11:16.483151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:deb8329d87eb281349e759d60c000421bd87a413b5bf1ddf2a58581030d3526d

Observation 2371c6da-aa0a-4d99-ac42-fbbd2cc85977 · outbound

This paper cites Sequence to Sequence Learning with Neural Networks.

Gemma 2: Improving Open Language Models at a Practical Size Sequence to Sequence Learning with Neural Networks

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.486272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:76ae43df38b3b470010f3663768be73dcaf80b0c4122c166f3c9516a243ce545

Observation 75292be3-00e0-4f93-9ce1-cc26cae27382 · outbound

This paper cites Attention Is All You Need.

Gemma 2: Improving Open Language Models at a Practical Size Attention Is All You Need

Reference 96

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T12:11:16.489289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:d5629a78bc3821f4cc1a9b84c6979213ccde69d7799c10bffe55a65aade7bcf9

Observation f71b5d9c-efbf-4fb5-9381-1f3f873f8010 · outbound

This paper cites nature , volume=.

Gemma 2: Improving Open Language Models at a Practical Size nature , volume=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.705160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:53ccdca2a5b3f11c42b51cc535a584d5c968f37de24618754e48eece2b635cd0

Observation 198f44cc-ba5b-434f-8c88-8a31bb828f03 · outbound

This paper cites 2022 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2022 , eprint=

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.707790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:711b11e9c57826a3ef45d7967770423ed935374603619928f3852ff74716e1e0

Observation e44696c4-4014-4b6a-b76c-a7af4e45e443 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Gemma 2: Improving Open Language Models at a Practical Size Journal of Machine Learning Research , volume=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.710349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:2fc5c0bb40aada077c0f67eac9ab214038ba8429066162e9788378dfc40d52c4

Observation 257dfda7-7ea3-40d9-926a-3d3db5b3835a · outbound

This paper cites 2019 , url=.

Gemma 2: Improving Open Language Models at a Practical Size 2019 , url=

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.712763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:f117b2698c7c7d3452165c914703ca52104d8bca88ee6173f792367d01d0fbcc

Observation 045946fa-abc1-4c3d-a135-e297063db154 · outbound

This paper cites 2022 , publisher=.

Gemma 2: Improving Open Language Models at a Practical Size 2022 , publisher=

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.715066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:9664385c3ae1e41ca4ce7f6089b5fce020997d31e7634c52f28fa179e8897219

Observation c6ab2678-e08a-4ddb-b5eb-9ff9e886bf0d · outbound

This paper cites Large Scale Distributed Deep Networks , url =.

Gemma 2: Improving Open Language Models at a Practical Size Large Scale Distributed Deep Networks , url =

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.717524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:3a99a6d49a34d8c704f71419f585648ad5d7e8c58d7187f9dc79f95ea9ac83a0

Observation b8c0c6c3-c0b5-43cb-8af0-a8da0fb63cd1 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space , booktitle =.

Gemma 2: Improving Open Language Models at a Practical Size Efficient Estimation of Word Representations in Vector Space , booktitle =

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.720145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:6dd4b900f373479b38ac31fd973c102336501d1351356e9eb6fe62bb0c17527b

Observation e669db9c-bf66-44b3-88ff-dcff7f0cf654 · outbound

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

Gemma 2: Improving Open Language Models at a Practical Size BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 104

Resolution
verified exact
local_arxiv, observed 2026-05-10T12:11:16.517446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:f688998c9f4fba8985b39695b148b6f519fca5415622873a2682bb849c7fc465

Observation 7d5be3e2-0e59-4316-8f60-dcc2b65ba15d · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Gemma 2: Improving Open Language Models at a Practical Size Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:37:56.023799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:60b8fb7cecfe2b05cb5701a5d737ff73eb34c914048473ff7bc5e464db494935

Observation 863817d1-b906-4e25-af65-e89d0c8dbec7 · outbound

This paper cites Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$.

Gemma 2: Improving Open Language Models at a Practical Size Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.525059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:11dfd077f46bf571fc61a417ca5fba65a36e7d2e6ca5403d28cee061849541eb

Observation 96dac0aa-9252-4980-89de-3657a4753216 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Gemma 2: Improving Open Language Models at a Practical Size Fast Transformer Decoding: One Write-Head is All You Need

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:50:20.836519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:70388296df5117bebce3f5ddea01af4d10aa554a1c7733e2e8b19cc0749ebe3d

Observation 1118a66f-ad6c-4cd5-9a95-ac72224fa6a8 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Gemma 2: Improving Open Language Models at a Practical Size RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 108

Resolution
verified exact
arxiv_id, observed 2026-05-10T19:37:06.679502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T15:38:39.263809+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:c52859c45a75bf46b10dc951e5f2daa1c7d4dd1c670e2c487d5b019b69b11f91

Observation c5680e99-aba0-4baf-a167-2580512d86d1 · outbound

This paper cites 2021 USENIX Annual Technical Conference (USENIX ATC 21) , pages=.

Gemma 2: Improving Open Language Models at a Practical Size 2021 USENIX Annual Technical Conference (USENIX ATC 21) , pages=

Reference 109

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.722776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:3e24724a03335a43cc62241e1e10efca41eb824b68e4d8215e28b7c312a9d431

Observation 767947b1-f978-4e22-9b96-46c61d5c479e · outbound

This paper cites GLU Variants Improve Transformer.

Gemma 2: Improving Open Language Models at a Practical Size GLU Variants Improve Transformer

Reference 110

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:05:01.922266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:72442dd11ee081bd00176b54778f83b2326fc7da5f3589e2aed197165be218f4

Observation b8ab7f86-36b2-4f57-9c35-11c876d7a3e4 · outbound

This paper cites Root Mean Square Layer Normalization.

Gemma 2: Improving Open Language Models at a Practical Size Root Mean Square Layer Normalization

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-05-17T18:45:27.296410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:b607619e39ad379a68a16325cbdcd12422e03ed94adcbf27616ef6275666be1b

Observation b1b4d602-fcd7-44ac-9cd7-034e4f792c23 · outbound

This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Gemma 2: Improving Open Language Models at a Practical Size SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 112

Resolution
verified exact
doi, observed 2026-05-12T20:09:07.599904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:6920f114278364e815b25352f6dd2430f61dcc012ce357f7118c045d5204f930

Observation 971b8f39-e680-405d-9ff3-9b97ddc8003e · outbound

This paper cites GSPMD: General and Scalable Parallelization for ML Computation Graphs.

Gemma 2: Improving Open Language Models at a Practical Size GSPMD: General and Scalable Parallelization for ML Computation Graphs

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:36:36.562059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:22e732c1b0ddc09fea68022decd7e700e27387f5029f16e36227068033e97819

Observation 5b7ec271-66cb-4db7-8538-b320d6c0a89f · outbound

This paper cites 2022 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2022 , eprint=

Reference 114

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.725155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:bb09911af6e8e2e510c8da47bf5026e33b5fa615f465dfb860e8cf891fc31c75

Observation 22f50c1e-86cb-4c57-83f5-77f39ecadbf5 · outbound

This paper cites PaLM 2 Technical Report.

Gemma 2: Improving Open Language Models at a Practical Size PaLM 2 Technical Report

Reference 115

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T11:59:27.667882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:530d421d4f853d81b234be30bcc0041703f92465d677c0d24df3cc4d2b491b9a

Observation 76a1cd65-83a1-40c5-889c-10619749c952 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Gemma 2: Improving Open Language Models at a Practical Size Advances in Neural Information Processing Systems , volume=

Reference 116

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.727822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:0e9a20da49723a1579803c7542a73b375ce915e2b214bb6bc35939c89c11fd77

Observation 47a34f2c-d50d-4e4a-8b4c-0ce69a5fa0af · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Gemma 2: Improving Open Language Models at a Practical Size Advances in Neural Information Processing Systems , volume=

Reference 117

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.730458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:fb044e5fc58083d985962e60ecdfc6b81f5874ef2f8356a0113e5e1e1a4180f9

Observation 0bbf94bf-8abc-406b-9ece-2d5f815cc1d1 · outbound

This paper cites The method of paired comparisons , author=.

Gemma 2: Improving Open Language Models at a Practical Size The method of paired comparisons , author=

Reference 118

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.733100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:9c7426422077f2968d48f4763623848497717f821f4cdeb2b40f40d11dafc7cf

Observation 5529a37c-d051-4746-8641-4f254c191e95 · outbound

This paper cites Machine learning , volume=.

Gemma 2: Improving Open Language Models at a Practical Size Machine learning , volume=

Reference 119

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.735659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:d9faa4acf102b8da082f920827b6573fcb1c6e50c3d7d5b61569b3e61c3931d5

Observation 2516e220-1471-46f9-a1ba-bfed6f3903ed · outbound

This paper cites 2023 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2023 , eprint=

Reference 120

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.738274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:1d49f90e1fb9d7d0b416cd676ab21210343bdd204e4c6fe599e92b5480ee32a2

Observation 87d20fb2-2fa3-4bcc-a0f7-24eb9dc8ca51 · outbound

This paper cites 2022 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2022 , eprint=

Reference 121

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.740993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:1e39a77da16d34a97e3f535b2fd220ce78e9c28aab1623161f5a99e60c8443d1

Observation ea616339-c01a-4e18-8a39-34cf61f7d148 · outbound

This paper cites 2018 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2018 , eprint=

Reference 122

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.743427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:18e3cc38eee6b003b3772b933ae13d925c621005607df7cd1eca9f895698986a

Observation 91f88723-cfe3-434f-a6cb-06df568c02fe · outbound

This paper cites 2016 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2016 , eprint=

Reference 123

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.745900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:c3364929866373dfc3fd5fe5700fe5f8bd7870fa1438056182821bc22ef732c7

Observation 7fa6d33a-6144-46e1-9192-211e77805e09 · outbound

This paper cites 2019 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2019 , eprint=

Reference 124

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.558970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:ad098112481f8bd984b0b6bc387c12e60bab779b2c5e05c575988957e5d0d483

Observation 51eab50a-72cb-4caa-bc6f-2632de4f35ac · outbound

This paper cites 2018 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2018 , eprint=

Reference 125

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.561895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:90d8e95c86407c0392bb247cdb2abbe495d21f103ba795db60ae322bd8b68e96

Observation 814e8297-47ec-4539-911c-2a4e8c7a5016 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Gemma 2: Improving Open Language Models at a Practical Size Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 126

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:54:44.857189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:fe80e31b25e9b6ed2b1ba15b1c81788981397c3d71c19020bb45b5841f2be188

Observation 71fbb77d-9016-476e-9955-7a28475aadb1 · outbound

This paper cites 2022 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2022 , eprint=

Reference 127

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.564432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:6865d04351eb3f310908124c1fb5e0e029010ce7c0b2f847f3fded06afe13fc9

Observation c35a5125-02bf-4f35-8664-0275955e803f · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

Gemma 2: Improving Open Language Models at a Practical Size mT5: A massively multilingual pre-trained text-to-text transformer

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:11:16.433596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:a60e3faf71d589155dd3b8088958429ff1cca332771c825ee435bf3ce758cb2f

Observation 36b0a1c9-28a4-4e3b-a03a-2dda58342e5b · outbound

This paper cites 2022 , eprint=.

Gemma 2: Improving Open Language Models at a Practical Size 2022 , eprint=

Reference 129

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.566923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:6c82b38bacc6563c62e1939d216b4202d52c4bc6a64e6c27643068ca0d62be45

Observation e02d5a34-6d93-4d01-a705-9121548e9cd3 · outbound

This paper cites NeurIPS , year=.

Gemma 2: Improving Open Language Models at a Practical Size NeurIPS , year=

Reference 130

Resolution
verified fuzzy
raw_fallback, observed 2026-05-10T12:11:16.569450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:dc1f611adea53e31010ded1fc7b7299f9fc9c847a956b80e22e6beabd6e476a7

Observation f0ecb552-6fee-4be8-ae97-6174f93f2183 · outbound

This paper cites Ethical and social risks of harm from Language Models.

Gemma 2: Improving Open Language Models at a Practical Size Ethical and social risks of harm from Language Models

Reference 131

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:24:30.556046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:11:16.326752Z digest=sha256:4cf57d1e27f3fe5e71e3879c43a9217e67c6d452eca79546fb01ca56a7cf7965

Pith citing papers

Observation 1e244709-815a-4d1f-8481-8b604cab05a1 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 142

Resolution
verified exact
local_arxiv, observed 2026-05-10T22:46:40.648135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:f9a81a74645b1087e2be5f550a97a2e73e873f8700d6a706540f222bb17bf19c

Observation 32ff83e4-f78f-4e18-b19d-c9980754225b · inbound

Whispers in the Machine: Confidentiality in Agentic Systems cites this paper.

Whispers in the Machine: Confidentiality in Agentic Systems Gemma 2: Improving Open Language Models at a Practical Size

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:03:53.838129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T03:59:03.972043Z digest=sha256:45781a32ee47471bba9a81e1971b1c22cf68d24dc2b6dbe6556fa63e374a5cc9

Observation 2a6127cd-66ca-4201-ae5b-b5735270d8ec · inbound

Argumentative Large Language Models for Explainable and Contestable Claim Verification cites this paper.

Argumentative Large Language Models for Explainable and Contestable Claim Verification Gemma 2: Improving Open Language Models at a Practical Size

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-24T01:18:42.209834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-24T01:17:26.111194Z digest=sha256:5477f6490c6680e6fca1066483cf685448b099041aac3b639a3a37ed67054b32

Observation e745bd77-8f14-4197-a6ef-c329e9535ec7 · inbound

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents cites this paper.

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents Gemma 2: Improving Open Language Models at a Practical Size

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T12:06:13.825027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T12:06:13.697487Z digest=sha256:74ab3ad5a63b9b9a08b727b60a6d46eac7b6bae698b74f4bd2de75f9352d7cab

Observation 174e6b17-e5fa-4ebd-9a14-255faddb1d9f · inbound

Improve Mathematical Reasoning in Language Models by Automated Process Supervision cites this paper.

Improve Mathematical Reasoning in Language Models by Automated Process Supervision Gemma 2: Improving Open Language Models at a Practical Size

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-13T20:53:45.911301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T20:53:45.878221Z digest=sha256:5ead16ac789e8186b7200fc97e0da01f2b6eaa51f7878e394579a60abf9587b1

Observation 8be4f0bc-3d69-4ada-83d2-2aa6aaa2e597 · inbound

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing cites this paper.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Gemma 2: Improving Open Language Models at a Practical Size

Reference 140

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.891851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:9bcef77eb8ef76756d8933b9016810f114e7843bc70f5709f70af92ea0f817d9

Observation be02f13a-0d02-4ccc-8732-5e2257b9a07e · inbound

LiveBench: A Challenging, Contamination-Limited LLM Benchmark cites this paper.

LiveBench: A Challenging, Contamination-Limited LLM Benchmark Gemma 2: Improving Open Language Models at a Practical Size

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-15T04:48:26.505807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T04:48:26.303240Z digest=sha256:5bc8fe345cf01cca29cb6b95be29f7a00239bf7f12ae2a16cb645f72eba649a0

Observation 6f93f34a-0329-433a-a1f0-1ce32328b691 · inbound

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback cites this paper.

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback Gemma 2: Improving Open Language Models at a Practical Size

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-23T22:38:32.520374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T22:37:43.230753Z digest=sha256:941da85d5f60c70a69b62737667ddbe034c7cc8f9c7defaa03e08c4167474535

Observation 519611ce-b368-48d8-a7b9-bbbe6d390762 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Gemma 2: Improving Open Language Models at a Practical Size

Reference 146

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metadata mismatch
local_arxiv, observed 2026-05-23T20:58:26.345381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:4d163ced40ae3b7ec191445db5ab6c406a16ff0842b614b7ea4bc51cf8dc3f93

Observation afe5f978-1f1c-47bf-9ecb-63afa31e2cea · inbound

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents cites this paper.

Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents Gemma 2: Improving Open Language Models at a Practical Size

Reference 133

Resolution
verified exact
local_arxiv, observed 2026-05-12T13:36:57.174673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T13:36:57.011451Z digest=sha256:92b0b645488ed239f289657439fe3a191c3b61ad89f144593ccdd35d730a19cf

Observation ba24866b-1de1-45f4-b234-dd1c535b0a49 · inbound

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models cites this paper.

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 91

Resolution
verified exact
local_arxiv, observed 2026-05-15T00:42:11.978514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T00:42:11.891829Z digest=sha256:6660b83a889f1bfeb147abdae57e565b1b1da34499165e034d3cc95486e554ae

Observation d45de892-0290-4721-8029-d3a6fc9a6b2b · inbound

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers cites this paper.

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers Gemma 2: Improving Open Language Models at a Practical Size

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-15T00:56:50.031418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T00:56:50.009149Z digest=sha256:64a6f3682b20b308de3cc3ac4bfc7837a0cf7c9ae3fc37d9e3dc0a294a876a69

Observation 4ea583d7-0dae-4766-a84e-17d53136cc03 · inbound

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation cites this paper.

LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Gemma 2: Improving Open Language Models at a Practical Size

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T18:33:19.559825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T18:31:35.391674Z digest=sha256:4e07e67ec19470bbdfe1a8d780b71fea8d3275257f1e365938311cd48d721136

Observation 994b1759-f09d-451f-8f87-d9fe39ce35dc · inbound

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs cites this paper.

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs Gemma 2: Improving Open Language Models at a Practical Size

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-17T16:18:01.667248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T16:18:01.560780Z digest=sha256:ff9b21e79f5553e12e6ed18a8bc300a0ee2ada62e733353170a8aa31f7b2bd25

Observation a63164f1-15cd-445f-aaa1-fafc0f7b91f4 · inbound

PaliGemma 2: A Family of Versatile VLMs for Transfer cites this paper.

PaliGemma 2: A Family of Versatile VLMs for Transfer Gemma 2: Improving Open Language Models at a Practical Size

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:15:07.579671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T09:15:07.523565Z digest=sha256:8e86ecf3e8155371b58a787737276d8a90557153096102673e9792f46897dc45

Observation 5303309a-0270-4245-a092-956238fd9312 · inbound

Flex Attention: A Programming Model for Generating Optimized Attention Kernels cites this paper.

Flex Attention: A Programming Model for Generating Optimized Attention Kernels Gemma 2: Improving Open Language Models at a Practical Size

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T21:27:16.688665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-17T21:27:16.615071Z digest=sha256:ef429d9cbf59aec256a46c221b73213645b5900001ae9789a0ef2bbf68d15841

Observation bcc50f09-23f8-4a6a-b9fa-82ed72d81297 · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Gemma 2: Improving Open Language Models at a Practical Size

Reference 139

Resolution
verified exact
local_arxiv, observed 2026-05-20T17:46:47.077697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T17:46:46.845424Z digest=sha256:e64cc873b1d5b29e62ae879f95dd3bebce4ad6e4dd13f6425f0162cfd960d51c

Observation 9e27ef05-20e7-47ae-badf-b49b21286739 · inbound

Qwen2.5 Technical Report cites this paper.

Qwen2.5 Technical Report Gemma 2: Improving Open Language Models at a Practical Size

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T06:25:27.909331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T06:25:00.376073Z digest=sha256:a5014151ad64cd8a64896c6bac234985156abc1e18044cb73e2d36e26e2c6289

Observation 563eb4e9-1047-4771-a3c1-b4a00bbdfa69 · inbound

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs cites this paper.

HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs Gemma 2: Improving Open Language Models at a Practical Size

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-15T12:36:50.299311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T12:36:50.060335Z digest=sha256:c7b905622a1723cd86c799232d0e7b79a5134fe5f1fc841fbf174dd211241c47

Observation 7271aa5e-4950-474d-8bc5-b996ac10cd3d · inbound

Analyzing Finetuning Representation Shift for Multimodal LLMs Steering cites this paper.

Analyzing Finetuning Representation Shift for Multimodal LLMs Steering Gemma 2: Improving Open Language Models at a Practical Size

Reference 63

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unresolved
no resolver link, observed 2026-08-10T22:03:26.074529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:03:26.074529Z digest=sha256:933b0d24c9e99890c01b3332601b78745c18a22b7ac033c111856ea64d5c3736

Observation 71174748-c800-4fce-995c-7efa3502db26 · inbound

Cosmos World Foundation Model Platform for Physical AI cites this paper.

Cosmos World Foundation Model Platform for Physical AI Gemma 2: Improving Open Language Models at a Practical Size

Reference 190

Resolution
verified exact
local_arxiv, observed 2026-05-10T23:38:45.943689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:c90066528f835c0f82ea58481d2ec543b342cf98d8e8a10a67f8b69d5296136a

Observation 9da61e68-432b-4e4d-a6b7-6aaaaa25455e · inbound

AlphaPO: Reward Shape Matters for LLM Alignment cites this paper.

AlphaPO: Reward Shape Matters for LLM Alignment Gemma 2: Improving Open Language Models at a Practical Size

Reference 36

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unresolved
no resolver link, observed 2026-08-10T21:51:08.893626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:51:08.893626Z digest=sha256:1ac877c814835de8992ad1f029a1e04585ae803916e81dd5f51102f9d66c8367

Observation 49b9e03f-1e4a-4e97-8d42-711c89881f5a · inbound

Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States cites this paper.

Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States Gemma 2: Improving Open Language Models at a Practical Size

Reference 17

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unresolved
no resolver link, observed 2026-08-10T21:47:08.908010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:47:08.908010Z digest=sha256:9e112b7606fcb646df22577ab306b5a6f4f70641a03c79ff11f31407c0c5b0a8

Observation 70da037e-6b04-43f2-8887-60240f1d9332 · inbound

Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles cites this paper.

Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles Gemma 2: Improving Open Language Models at a Practical Size

Reference 26

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unresolved
no resolver link, observed 2026-08-10T21:45:55.367568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:45:55.367568Z digest=sha256:89d40f6284d3ea22326a341232e01ac687158ce0ed422fb86f8c0f5ee63d0ad7

Observation 79d70ddf-ca72-4738-bd72-a3026f0d50e3 · inbound

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization cites this paper.

Advancing Retrieval-Augmented Generation for Persian: Development of Language Models, Comprehensive Benchmarks, and Best Practices for Optimization Gemma 2: Improving Open Language Models at a Practical Size

Reference 21

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unresolved
no resolver link, observed 2026-08-10T21:28:19.063756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:19.063756Z digest=sha256:59c74131db167a353da4d461c58fcc3f0e3d62f5b04928d9fbd34e42e9be83b9

Observation 24695f1f-7f38-439b-a429-7307bbe21eb8 · inbound

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing cites this paper.

CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing Gemma 2: Improving Open Language Models at a Practical Size

Reference 33

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unresolved
no resolver link, observed 2026-08-10T21:18:05.224687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:05.224687Z digest=sha256:3c0e93dfe0776472ccf5822fa7a7dcf6d93691a0f6528e927d02fdf548174af1

Observation 83a6e153-56c3-4e74-84c6-68c30f3df22f · inbound

Spatial Information Integration in Small Language Models for Document Layout Generation and Classification cites this paper.

Spatial Information Integration in Small Language Models for Document Layout Generation and Classification Gemma 2: Improving Open Language Models at a Practical Size

Reference 40

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unresolved
no resolver link, observed 2026-08-10T21:15:54.834592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:15:54.834592Z digest=sha256:86ac41c2dfd6b1eae837abdaf57523145bb12a8ebd74ca67901f71f44565997d

Observation 3a0be4d8-6456-4a8a-86d1-7834542fc8f0 · inbound

Language Fusion for Parameter-Efficient Cross-lingual Transfer cites this paper.

Language Fusion for Parameter-Efficient Cross-lingual Transfer Gemma 2: Improving Open Language Models at a Practical Size

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T20:54:01.377192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:54:01.377192Z digest=sha256:26c1b8b647175231fa34d0dd08d86266d4ba41830da081eceb2e1a3b78120799

Observation 4bd56658-c811-4037-937c-fe2166221d8a · inbound

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch cites this paper.

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch Gemma 2: Improving Open Language Models at a Practical Size

Reference 131

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no resolver link, observed 2026-08-10T20:54:02.437992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:54:02.437992Z digest=sha256:b24898cbc8722b616b9f79a99306f710a0114dd4854281bdf5e8910a61d690c6

Observation 3742c7b5-f72c-4136-8590-d617fffcaaa3 · inbound

Disentangling Exploration of Large Language Models by Optimal Exploitation cites this paper.

Disentangling Exploration of Large Language Models by Optimal Exploitation Gemma 2: Improving Open Language Models at a Practical Size

Reference 53

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no resolver link, observed 2026-08-10T20:18:58.472360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:18:58.472360Z digest=sha256:9865e6e0d0307affefd72dfc8f62393ed67a4819ff3bdf8e11242edd34961b28

Observation 8fac5e1e-6aeb-4c21-bddb-aa486eafa7d8 · inbound

Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails cites this paper.

Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails Gemma 2: Improving Open Language Models at a Practical Size

Reference 31

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unresolved
no resolver link, observed 2026-08-10T20:15:54.832514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:15:54.832514Z digest=sha256:7234c0bd8281973831a2c17b47a1fb9785dbc12c7f0190458d65ca9d3f45c848

Observation 410aceab-53e0-4683-a3a4-8e96116d51f6 · inbound

Foundations of Large Language Models cites this paper.

Foundations of Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 240

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no resolver link, observed 2026-08-10T20:14:59.303518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:59.303518Z digest=sha256:3ab42491c8e09bee160d19377c6a3f51f8557d8327a5d13d1ca05537b0189f74

Observation 46f99a6f-72eb-473b-b2d3-27b888fcaef2 · inbound

Interpretable Steering of Large Language Models with Feature Guided Activation Additions cites this paper.

Interpretable Steering of Large Language Models with Feature Guided Activation Additions Gemma 2: Improving Open Language Models at a Practical Size

Reference 9

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unresolved
no resolver link, observed 2026-08-10T19:34:26.939993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:26.939993Z digest=sha256:97f2725e454f658405b3a4ff7a26b50137acae76d63c70f2a2c06af919aa58d1

Observation e2217090-5ff5-4b2b-80c3-0152c913626c · inbound

Interpretable Steering of Large Language Models with Feature Guided Activation Additions cites this paper.

Interpretable Steering of Large Language Models with Feature Guided Activation Additions Gemma 2: Improving Open Language Models at a Practical Size

Reference 10

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unresolved
no resolver link, observed 2026-08-10T19:34:26.944662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:34:26.944662Z digest=sha256:719db8ed3d1a9c0f453149d51069b89c59a25f52c3fd9567c91b6da6dbc26c41

Observation ca796584-924f-4048-9852-9f84e0a6ac66 · inbound

GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human cites this paper.

GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human Gemma 2: Improving Open Language Models at a Practical Size

Reference 43

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unresolved
no resolver link, observed 2026-08-10T18:48:02.438233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:48:02.438233Z digest=sha256:7ce78d454ade373db6288565f0a8b68ed4350f1f775f6e5ee778439d39463a41

Observation f0ca23a5-d5e1-4f58-bb07-000b918289a3 · inbound

Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model cites this paper.

Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model Gemma 2: Improving Open Language Models at a Practical Size

Reference 22

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unresolved
no resolver link, observed 2026-08-10T17:44:49.184652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:44:49.184652Z digest=sha256:bc33aebe3b7a44ce2a5341fd4e98f8b32969abb6daf1ce0e89ebf3e416fe64bc

Observation 95cd782d-7f5b-481f-8aa0-a38814cc11e8 · inbound

IC-Cache: Efficient Large Language Model Serving via In-context Caching cites this paper.

IC-Cache: Efficient Large Language Model Serving via In-context Caching Gemma 2: Improving Open Language Models at a Practical Size

Reference 67

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no resolver link, observed 2026-08-10T16:59:01.411181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:59:01.411181Z digest=sha256:f180d16ddd168cedc6dc8568623e1408553d1c1ce983290cd05adec20a492608

Observation 0551bd6b-907d-4173-98a8-b25bc7126889 · inbound

Do as We Do, Not as You Think: the Conformity of Large Language Models cites this paper.

Do as We Do, Not as You Think: the Conformity of Large Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 49

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no resolver link, observed 2026-08-10T16:16:52.645062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:16:52.645062Z digest=sha256:9bc48ade168c7bb30032411728826acc5f5f588bdca4aebb9e5bb6a9c61c47f4

Observation ee24a763-d025-4a60-a6f1-8ca22424aa3c · inbound

Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.

Can Large Language Models Understand Preferences in Personalized Recommendation? Gemma 2: Improving Open Language Models at a Practical Size

Reference 48

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unresolved
no resolver link, observed 2026-08-10T16:17:33.756494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:17:33.756494Z digest=sha256:cec500bc2726ebddec9b12d4e6bcf6d0cba0d517250ca50adf99d171c9c01dc8

Observation 03cf82ac-e301-4138-827f-ab3f191d06ca · inbound

A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs cites this paper.

A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMs Gemma 2: Improving Open Language Models at a Practical Size

Reference 45

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unresolved
no resolver link, observed 2026-08-10T15:49:01.487099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:49:01.487099Z digest=sha256:18f0afafe3d27fd64fe81d33a55ae690566ece20249c0b3ceafb8b3a3369ba4d

Observation 6c3e7bd8-1862-46ce-a954-3b37a6c7d05f · inbound

Analysis of Indic Language Capabilities in LLMs cites this paper.

Analysis of Indic Language Capabilities in LLMs Gemma 2: Improving Open Language Models at a Practical Size

Reference 67

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unresolved
no resolver link, observed 2026-08-10T15:31:10.758349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:31:10.758349Z digest=sha256:e4da1161b1ea42f7780938a89cb46ea73ab90d84ef06f55ade5880ea203c95dc

Observation 24831017-9e1b-443e-8810-b2c1f0bb2df9 · inbound

Fanar: An Arabic-Centric Multimodal Generative AI Platform cites this paper.

Fanar: An Arabic-Centric Multimodal Generative AI Platform Gemma 2: Improving Open Language Models at a Practical Size

Reference 13

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unresolved
no resolver link, observed 2026-08-10T19:05:53.686432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:05:53.686432Z digest=sha256:e3f0892bf094ea9eaf2cdcf2663474347622c5da920e2559c2f57954a50c523e

Observation bfa5c5e5-bb5d-470a-bdb7-420dbc46000e · inbound

Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course cites this paper.

Automated Assignment Grading with Large Language Models: Insights From a Bioinformatics Course Gemma 2: Improving Open Language Models at a Practical Size

Reference 24

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no resolver link, observed 2026-08-10T15:08:52.005508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:08:52.005508Z digest=sha256:acf9e4f20a162e87a77ca435410347e9c9b10c556162d56f934d7581388ad692

Observation ca763092-14ae-4a9e-bae1-300a081a2d49 · inbound

ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation cites this paper.

ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation Gemma 2: Improving Open Language Models at a Practical Size

Reference 10

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unresolved
no resolver link, observed 2026-08-10T14:51:43.392421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:51:43.392421Z digest=sha256:dbef514d765c22525899a4ef0c64f2bdfe249d5250127c19956f519bdd97db1e

Observation c1c2735c-cddc-4df0-9c37-349ca14d148e · inbound

Overview of the Amphion Toolkit (v0.2) cites this paper.

Overview of the Amphion Toolkit (v0.2) Gemma 2: Improving Open Language Models at a Practical Size

Reference 107

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no resolver link, observed 2026-08-10T14:21:56.958089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:21:56.958089Z digest=sha256:a794004df5745aeea97d4885346dce430acbbb5ed5089984253baa59b01d9d74

Observation abf0b690-ded1-4422-8822-52cef9d7953a · inbound

Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference cites this paper.

Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference Gemma 2: Improving Open Language Models at a Practical Size

Reference 11

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no resolver link, observed 2026-08-10T14:03:43.030057Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:03:43.030057Z digest=sha256:11fe390a35641e400d96f2a619de9152b17451d3c17ffb80c1d1ce7ba9152548

Observation 8ffa63df-206e-4e1b-a0fd-c0f119956d0a · inbound

AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-Thought cites this paper.

AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-Thought Gemma 2: Improving Open Language Models at a Practical Size

Reference 9

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metadata mismatch
local_arxiv, observed 2026-05-23T04:55:24.824604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T04:55:04.067483Z digest=sha256:ed39829cc72b5db77cf3bf68cd6520482695e232974173ccc94145081fdd7d1e

Observation 08d1517b-8726-45aa-bd62-dc397eb12060 · inbound

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models cites this paper.

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 2010

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no resolver link, observed 2026-08-10T05:35:54.096779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:35:54.096779Z digest=sha256:339e4cf8b733749069b2ff8058407ea47632db23d95e085f0ca17e43ea787ec1

Observation 647a6428-80be-4819-9eba-3a2f173ecdf9 · inbound

The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs cites this paper.

The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMs Gemma 2: Improving Open Language Models at a Practical Size

Reference 8

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no resolver link, observed 2026-08-10T13:53:10.939333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:53:10.939333Z digest=sha256:251fab60f166d47bc2223a0db62651510ae57a80c4cba666ec84c0eb3c148f99

Observation ae0c6696-fcc1-4806-8547-36b3c200c9f0 · inbound

Transcoders Beat Sparse Autoencoders for Interpretability cites this paper.

Transcoders Beat Sparse Autoencoders for Interpretability Gemma 2: Improving Open Language Models at a Practical Size

Reference 39

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no resolver link, observed 2026-08-09T22:24:53.893458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:24:53.893458Z digest=sha256:1b3d17c5057f62a51803ba564aa40cfd284bd10892a72e5d6992d10f89236bd3

Observation 778fdd76-1f49-48ed-a34c-9bd0cda5bd47 · inbound

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning cites this paper.

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning Gemma 2: Improving Open Language Models at a Practical Size

Reference 52

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no resolver link, observed 2026-08-09T22:20:13.826434Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:20:13.826434Z digest=sha256:6897f3382b8e03ffa63c1f755ce62f60e3624c58d93439f8112de3ea3117ec8d

Observation 4cb2ca6f-924e-4292-a411-ce10f8cc8f47 · inbound

Scaling Laws for Differentially Private Language Models cites this paper.

Scaling Laws for Differentially Private Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 35

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no resolver link, observed 2026-08-09T22:05:02.563895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:05:02.563895Z digest=sha256:6e7835d73b78f325b492ee5f8531561c20cf554fbb4a9be1ed5dc28ca9bc5071

Observation e1164f26-b591-410a-83a5-779528ff9941 · inbound

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search cites this paper.

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search Gemma 2: Improving Open Language Models at a Practical Size

Reference 27

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no resolver link, observed 2026-08-09T22:03:18.652490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:03:18.652490Z digest=sha256:875deb80dfdc00d733ed78112a651ab9903d3903dd97078b9f4951b50346d886

Observation 595ea753-b140-4a76-b616-c36d49536aaf · inbound

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics cites this paper.

BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics Gemma 2: Improving Open Language Models at a Practical Size

Reference 50

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no resolver link, observed 2026-08-09T21:55:52.838659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:55:52.838659Z digest=sha256:e97e72852c5659575081d24b419372b4486efbf9e048a10b2e8c3d814177cb68

Observation 185f4e3c-33c4-4a53-8288-faae1a11f075 · inbound

Jackpot! Alignment as a Maximal Lottery cites this paper.

Jackpot! Alignment as a Maximal Lottery Gemma 2: Improving Open Language Models at a Practical Size

Reference 51

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no resolver link, observed 2026-08-09T20:51:59.213508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:51:59.213508Z digest=sha256:4043dc9d57520235afdc8f1653bd69b6276bf9905daf4f97a25074793c0a0670

Observation b60801c0-2b8d-481a-b3e0-03e70a93dc29 · inbound

Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs cites this paper.

Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs Gemma 2: Improving Open Language Models at a Practical Size

Reference 35

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no resolver link, observed 2026-08-09T20:51:50.039713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:51:50.039713Z digest=sha256:d0701b05c6ed8a7a5085c178df531f16ce9aecc7fe9dc2e925e86ce6b8186732

Observation 68fd28ed-bc4b-467c-a545-0ac3cfd1a36f · inbound

Low-Rank Adapting Models for Sparse Autoencoders cites this paper.

Low-Rank Adapting Models for Sparse Autoencoders Gemma 2: Improving Open Language Models at a Practical Size

Reference 31

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no resolver link, observed 2026-08-09T20:18:31.188156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:18:31.188156Z digest=sha256:85a0a248ef688f538bdd175e901aa851eaf993756f5f70a98e7f0c6d19e75a49

Observation bae4d753-f69b-4c02-9db5-e5baafb8e83b · inbound

Ensembles of Low-Rank Expert Adapters cites this paper.

Ensembles of Low-Rank Expert Adapters Gemma 2: Improving Open Language Models at a Practical Size

Reference 24

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no resolver link, observed 2026-08-09T20:29:52.508264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:29:52.508264Z digest=sha256:fbc962bbf213c0df348198081c62442205a22e0c3401975aa0fe2eb6fd1d9ffb

Observation 2ae5f340-cb2a-492f-9366-5dc23f01f859 · inbound

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation cites this paper.

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation Gemma 2: Improving Open Language Models at a Practical Size

Reference 53

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unresolved
no resolver link, observed 2026-08-09T19:32:34.379658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:32:34.379658Z digest=sha256:0a5da67c4a988057e3abbe78e2b969fce5f5b43ca6c3d36336a330ec16b38e5b

Observation b313a20f-a130-4ece-aa42-1db54810ae0b · inbound

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning cites this paper.

NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning Gemma 2: Improving Open Language Models at a Practical Size

Reference 46

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no resolver link, observed 2026-08-09T19:21:22.331855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:21:22.331855Z digest=sha256:f73bc8b38d3363a59258ca80327c496c4aa04f5371ad26987e88f3c620856a29

Observation ae457d7c-c095-4333-ad0e-cfc1ebb184a3 · inbound

Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial? cites this paper.

Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial? Gemma 2: Improving Open Language Models at a Practical Size

Reference 23

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no resolver link, observed 2026-08-09T18:11:28.166006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:11:28.166006Z digest=sha256:17867032001ae7748e7344cfae049128c9d00a8363695334a8e6e3dd1ca98324

Observation 615db8bd-fb6c-47f5-a87e-9c53f6c7105b · inbound

MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies cites this paper.

MorphBPE: A Morpho-Aware Tokenizer Bridging Linguistic Complexity for Efficient LLM Training Across Morphologies Gemma 2: Improving Open Language Models at a Practical Size

Reference 38

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no resolver link, observed 2026-08-09T17:26:11.354087Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:26:11.354087Z digest=sha256:b4ed2a6b7247e388fa181b121211b657a698cf34653c5c4ceadc5f67e1cf0d30

Observation ff6f3c72-eaf9-4710-ab92-4b38deaac6e5 · inbound

Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations cites this paper.

Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations Gemma 2: Improving Open Language Models at a Practical Size

Reference 43

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no resolver link, observed 2026-08-09T16:14:26.434907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:14:26.434907Z digest=sha256:1ecfabba77a5556b6b006694f843c836f4865935b07da5956ec9ea69aabd37a4

Observation 63b8aace-8179-418c-a570-6e8ba37b641e · inbound

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology cites this paper.

OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology Gemma 2: Improving Open Language Models at a Practical Size

Reference 61

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no resolver link, observed 2026-08-09T16:10:24.914543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:10:24.914543Z digest=sha256:a569711acbb2321e9610398a1d54e7333438f9935f8b0b128a8d0e4173ee2901

Observation 1f75652a-fd67-4c12-b762-3d6db24c48e0 · inbound

CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering cites this paper.

CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering Gemma 2: Improving Open Language Models at a Practical Size

Reference 2023

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no resolver link, observed 2026-08-09T15:05:22.577366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:22.577366Z digest=sha256:3ba6c5e2c7cc9687489c3c29cb3c68c368bfce6e268d47135bc5c20e60444f23

Observation c4d32ccf-b590-4ca8-b125-6fa924230722 · inbound

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging cites this paper.

Soup-of-Experts: Pretraining Specialist Models via Parameters Averaging Gemma 2: Improving Open Language Models at a Practical Size

Reference 36

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no resolver link, observed 2026-08-09T14:27:57.524414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:27:57.524414Z digest=sha256:a2f553458d42d8e0d395d0bd67e044f4ff7a25c754f49c8d9e68cef5cfdab53a

Observation ba9cbdde-fc6f-4357-a5c5-a4c2309de7d8 · inbound

D-Attn: Decomposed Attention for Large Vision-and-Language Models cites this paper.

D-Attn: Decomposed Attention for Large Vision-and-Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 35

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unresolved
no resolver link, observed 2026-08-09T14:05:14.429018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:05:14.429018Z digest=sha256:48a00cc6aa2b5c49d8a7d04f9b095bb7393ee6bea770b583860f1361ff8f70ff

Observation 448019c0-a867-4c6c-b538-4d404fb86768 · inbound

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs cites this paper.

Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs Gemma 2: Improving Open Language Models at a Practical Size

Reference 92

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no resolver link, observed 2026-08-09T14:03:44.609951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:03:44.609951Z digest=sha256:185e5aea91309ba749125e82f45731575d66bf817db0cb3b920d4c8405253160

Observation 0ab8a989-01ed-4738-8d58-ac97271cf46f · inbound

Studying Cross-cluster Modularity in Neural Networks cites this paper.

Studying Cross-cluster Modularity in Neural Networks Gemma 2: Improving Open Language Models at a Practical Size

Reference 37

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no resolver link, observed 2026-08-09T12:08:22.876076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:08:22.876076Z digest=sha256:f0172e23ebc5f038f6a7a336ab8a7cc88a5e8bd99305e5e94e47d325ffa9386b

Observation 0e4a447a-d446-4e3b-9405-c558532f2a0a · inbound

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study cites this paper.

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study Gemma 2: Improving Open Language Models at a Practical Size

Reference 41

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no resolver link, observed 2026-08-09T12:03:33.561299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:03:33.561299Z digest=sha256:3b1b9a6aa7f71bf90098506b49aac715c652c4ac3dd58ac811e47d6a946de222

Observation 742b1719-657f-4cad-91f1-eb939d2eaeec · inbound

On Teacher Hacking in Language Model Distillation cites this paper.

On Teacher Hacking in Language Model Distillation Gemma 2: Improving Open Language Models at a Practical Size

Reference 19

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no resolver link, observed 2026-08-09T11:34:57.156496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:34:57.156496Z digest=sha256:2362f9e9ac280979df4ab90fb8f76a48b6102006adda5d2b255d80bbcfcc85cd

Observation 8b1e79a5-d6b3-4751-9ea3-df53f9195c07 · inbound

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture cites this paper.

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture Gemma 2: Improving Open Language Models at a Practical Size

Reference 27

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no resolver link, observed 2026-08-09T11:23:40.982032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:23:40.982032Z digest=sha256:ec84c030c18ad8333c0265b21ebadd351ebe99f9e2f1b0c08867e6a42a2f7272

Observation 4a659738-1bd8-4d72-a3f3-287ef606fce2 · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Gemma 2: Improving Open Language Models at a Practical Size

Reference 228

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metadata mismatch
local_arxiv, observed 2026-05-13T17:30:03.034288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T17:30:02.803757Z digest=sha256:d84be82c2dae94003d707e140a4578cf3a6c5b5eec7091bffc018bf58de0f87c

Observation 2e7c6fd6-46b2-4f10-8fc0-fe92a225119f · inbound

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models cites this paper.

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 14

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no resolver link, observed 2026-08-09T10:11:51.712221Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:11:51.712221Z digest=sha256:3f090ed11fae52aac850212fbf146591ac6215b684a1df853b24bbf28801451f

Observation 7670e05a-36e8-4b5d-9cf6-c6d76ff827f1 · inbound

Safety Reasoning with Guidelines cites this paper.

Safety Reasoning with Guidelines Gemma 2: Improving Open Language Models at a Practical Size

Reference 55

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no resolver link, observed 2026-08-08T23:50:36.149051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:50:36.149051Z digest=sha256:26024a6783b2efc27f2bd2039969e9f42a645ff0f981c663e81cb43f5d5752cd

Observation ef503a3c-c93f-4473-9a87-b88950e81bfc · inbound

Sparse Autoencoders Do Not Find Canonical Units of Analysis cites this paper.

Sparse Autoencoders Do Not Find Canonical Units of Analysis Gemma 2: Improving Open Language Models at a Practical Size

Reference 18

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no resolver link, observed 2026-08-08T21:12:13.874504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:12:13.874504Z digest=sha256:82b3a2884c9e1ec58b5650a8d9fb35e4c1e6b6d071cf53ff4badc73eeeec02ab

Observation 802d48bd-3a5c-4f5d-93c2-034974f8f8a2 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Gemma 2: Improving Open Language Models at a Practical Size

Reference 156

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verified exact
local_arxiv, observed 2026-05-12T15:39:41.259913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:085e5b7055a2e970ca0010a844f20d95990a4b3b36795fef18785f887f663d8b

Observation 1de0eab6-ba41-4b39-ab5e-adb1a6deb80d · inbound

Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring cites this paper.

Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring Gemma 2: Improving Open Language Models at a Practical Size

Reference 71

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no resolver link, observed 2026-08-08T21:06:56.054470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T21:06:56.054470Z digest=sha256:521a19ea3e7bf07e68a887f2243c3e739c47ff0cb8ccda3ac6ed153e0ecff668

Observation f1464f1d-834b-42ec-84ee-843dc87b1a08 · inbound

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding cites this paper.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding Gemma 2: Improving Open Language Models at a Practical Size

Reference 29

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no resolver link, observed 2026-08-08T19:28:43.601752Z

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source=pdf_text observed=2026-08-08T19:28:43.601752Z digest=sha256:c7247345451c4364e9801537520821fcd6613dd7ec85f2b1f77710f10a04894a

Observation f659a206-fb5c-4556-8ab5-e567f47bee13 · inbound

Incongruence Identification in Eyewitness Testimony cites this paper.

Incongruence Identification in Eyewitness Testimony Gemma 2: Improving Open Language Models at a Practical Size

Reference 27

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unresolved
no resolver link, observed 2026-08-08T18:35:11.314974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:35:11.314974Z digest=sha256:f138d36f77e41af6c024b10cf3d4e2e707465fcbe801e7c78756ebb3adaf1804

Observation 82cbb669-da32-45f8-9863-d0e0b190af24 · inbound

Reinforced Lifelong Editing for Language Models cites this paper.

Reinforced Lifelong Editing for Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 36

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no resolver link, observed 2026-08-08T18:12:33.453219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:12:33.453219Z digest=sha256:0ab48c5b5c172094a60465d98ea768954a3cd4f7d6eef4b0883b71ccf2f634f9

Observation a831731d-dc79-449f-b280-288fb504611e · inbound

Task-driven Layerwise Additive Activation Intervention cites this paper.

Task-driven Layerwise Additive Activation Intervention Gemma 2: Improving Open Language Models at a Practical Size

Reference 19

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no resolver link, observed 2026-08-08T16:46:58.493887Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T16:46:58.493887Z digest=sha256:c67b67909fd6137ce46af096d35280818f4a236ac44c59d6790c8f64587ee87c

Observation 23e701f7-b62b-4d3e-92f8-1d48ae211be9 · inbound

LegalViz: Legal Text Visualization by Text To Diagram Generation cites this paper.

LegalViz: Legal Text Visualization by Text To Diagram Generation Gemma 2: Improving Open Language Models at a Practical Size

Reference 43

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source=arxiv_source observed=2026-08-08T16:38:28.207949Z digest=sha256:98cb559e6c82616cf7cbabe6e7d02e8920e0ce413ba16854d3fbaaa6d1c1782a

Observation 71a1e99b-ab90-4460-a9d6-258414d52ecf · inbound

SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia cites this paper.

SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia Gemma 2: Improving Open Language Models at a Practical Size

Reference 21

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no resolver link, observed 2026-08-08T15:57:53.716047Z

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source=pdf_text observed=2026-08-08T15:57:53.716047Z digest=sha256:0470e74314abf61c3a31e26b20b20489119053e06f5a1aa5f3d9f6c20e6a6325

Observation b7a0fc2f-f96d-4788-9f24-f83b539e48d2 · inbound

What makes a good feedforward computational graph? cites this paper.

What makes a good feedforward computational graph? Gemma 2: Improving Open Language Models at a Practical Size

Reference 42

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source=arxiv_source observed=2026-08-08T14:33:16.021100Z digest=sha256:d4c39ff3abfccda6387e3c72000a2987fede9ba00ef939e6a730dee5a2779a58

Observation 309ada9b-7585-44d7-b7d0-5b063a7e4156 · inbound

Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT cites this paper.

Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT Gemma 2: Improving Open Language Models at a Practical Size

Reference 70

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no resolver link, observed 2026-08-08T14:26:46.834093Z

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source=arxiv_source observed=2026-08-08T14:26:46.834093Z digest=sha256:b141565096c37e441b01fda75d221d3a3c54df15805b184b1732b7e03f945696

Observation 8901f06c-5dc6-4d80-9152-54d5b006e202 · inbound

Matryoshka Quantization cites this paper.

Matryoshka Quantization Gemma 2: Improving Open Language Models at a Practical Size

Reference 20

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source=arxiv_source observed=2026-08-08T14:25:15.953321Z digest=sha256:80a3cc02d1c3e191305f78fc7bc56d2abd118c7c92dc2e4ff87390fea65e3f6a

Observation 5c8f301e-7f88-44f9-8f4a-a959646760af · inbound

Can Large Language Models Understand Intermediate Representations in Compilers? cites this paper.

Can Large Language Models Understand Intermediate Representations in Compilers? Gemma 2: Improving Open Language Models at a Practical Size

Reference 55

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source=arxiv_source observed=2026-08-08T20:20:19.724338Z digest=sha256:b348054df8e46e4aa7565b89bc9d44017b37076273556ebe9bb36067a257ba0d

Observation 4bdfee9a-31a6-47b2-a7a8-2eed871cc654 · inbound

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction cites this paper.

CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Gemma 2: Improving Open Language Models at a Practical Size

Reference 13

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source=arxiv_source observed=2026-08-08T13:11:51.597614Z digest=sha256:7e27cdac13a81cb7fbf5ce24846908e7544c00bc763c6b24b34f737e06b1c89c

Observation 3a239b54-4439-43bd-b0c1-9575f45fe4c0 · inbound

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems cites this paper.

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems Gemma 2: Improving Open Language Models at a Practical Size

Reference 37

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no resolver link, observed 2026-08-08T13:08:23.061984Z

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source=arxiv_source observed=2026-08-08T13:08:23.061984Z digest=sha256:c6920e54bdf6a8b8d11de43fac63bcdb52e3f21d60cc6a425f0f2d4dd573c084

Observation 97c01ee9-6966-4a5d-8706-7f0972d2d822 · inbound

TransMLA: Multi-Head Latent Attention Is All You Need cites this paper.

TransMLA: Multi-Head Latent Attention Is All You Need Gemma 2: Improving Open Language Models at a Practical Size

Reference 9

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no resolver link, observed 2026-08-08T11:48:01.112960Z

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source=arxiv_source observed=2026-08-08T11:48:01.112960Z digest=sha256:36d93d3cb7c236685233faa011ba558ab523bd66b527fda865348e0cb3395d88

Observation 56abbd70-119d-4048-9efd-e5fe1c467a5b · inbound

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models cites this paper.

The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models Gemma 2: Improving Open Language Models at a Practical Size

Reference 2022

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no resolver link, observed 2026-08-08T11:11:42.726812Z

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source=pdf_text observed=2026-08-08T11:11:42.726812Z digest=sha256:35df53c59abb99bb908c8d80210a55a7bb55c2164e10f36f4a5f3d7aad48fd89

Observation c69aa80b-dfca-4cc0-88bc-2d957573b60f · inbound

Enhancing LLM Character-Level Manipulation via Divide and Conquer cites this paper.

Enhancing LLM Character-Level Manipulation via Divide and Conquer Gemma 2: Improving Open Language Models at a Practical Size

Reference 18

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no resolver link, observed 2026-08-08T10:10:44.405274Z

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source=arxiv_source observed=2026-08-08T10:10:44.405274Z digest=sha256:266b152af9b9e0d4bd437ca99b2371fa4f6d05acc17f8b7a1b1dc14476c4896c

Observation 5c94a401-8545-42bd-913a-caa3fcd22382 · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report Gemma 2: Improving Open Language Models at a Practical Size

Reference 190

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source=pdf_text observed=2026-08-08T04:58:34.407180Z digest=sha256:a0fbe421ec7eb44055c404764be17c0a630ced8ff774753fd91634f688cc7f72

Observation 4ad03885-c99a-4063-a5b4-18148c1f35f3 · inbound

LLM Pretraining with Continuous Concepts cites this paper.

LLM Pretraining with Continuous Concepts Gemma 2: Improving Open Language Models at a Practical Size

Reference 22

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no resolver link, observed 2026-08-08T04:54:39.374645Z

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source=pdf_text observed=2026-08-08T04:54:39.374645Z digest=sha256:77ab9085006e553be0de4e1b6fe5f487f1bd855b0bdff0f9538ace50650d36c3

Observation 0cb14105-6f37-4a4d-bcc3-572af0793a0a · inbound

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs cites this paper.

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs Gemma 2: Improving Open Language Models at a Practical Size

Reference 60

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source=arxiv_source observed=2026-08-08T00:04:57.462091Z digest=sha256:dc548298aed16922ffc89f308c8857e07ccb78e26f1713583f7b97cbec0cddd6

Observation 4c35e258-75f1-4e3c-9b9e-b360a0faf1e1 · inbound

IHEval: Evaluating Language Models on Following the Instruction Hierarchy cites this paper.

IHEval: Evaluating Language Models on Following the Instruction Hierarchy Gemma 2: Improving Open Language Models at a Practical Size

Reference 27

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no resolver link, observed 2026-08-07T23:56:00.095920Z

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source=arxiv_source observed=2026-08-07T23:56:00.095920Z digest=sha256:50177290bcef2390a8ab13dd00089af984f316aabd7181243537851d37498b52

Observation cf36afdf-078a-4509-a810-d3dd43910de1 · inbound

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU cites this paper.

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU Gemma 2: Improving Open Language Models at a Practical Size

Reference 9

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no resolver link, observed 2026-08-07T23:19:37.827717Z

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source=arxiv_source observed=2026-08-07T23:19:37.827717Z digest=sha256:fe854c50d64393a913b5f5824183a51ae42e6b11e0376a52d10b24f735c4a576

Observation 7d5f345e-f31d-4a2d-8ec4-70ca7175b416 · inbound

When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models cites this paper.

When the LM misunderstood the human chuckled: Analyzing garden path effects in humans and language models Gemma 2: Improving Open Language Models at a Practical Size

Reference 30

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source=arxiv_source observed=2026-08-07T22:05:41.552023Z digest=sha256:48bca01c4197d0d131591debc5d10262a2d0b1edaed651932da66880018e2cdc

Observation 80644951-0cad-452e-a7d7-e00693aa1dc1 · inbound

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples cites this paper.

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples Gemma 2: Improving Open Language Models at a Practical Size

Reference 68

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no resolver link, observed 2026-08-08T11:57:11.967745Z

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source=arxiv_source observed=2026-08-08T11:57:11.967745Z digest=sha256:353de9cc343f6edc0d58bc547f6a9c857127ec8dd00f230559efee810fdb1506