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Paper Citation Record · LEDGER

Salamandra Technical Report

As of 16 August 2026, this Paper Citation Record lists 100 of 241 outbound references and 12 inbound Pith citation observations for arXiv:2502.08489.

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

pith.paper-citation-record.v1
2502.08489 v2

Coverage vector

measured 100 of 241 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:58:32.965008Z

measured 112 of 112 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:58:14.921974Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T15:00:05.776044Z

Reference resolution

100 of 241 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved95
  • parse uncertain1
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7f85fb55-31ad-4dcd-85b1-387712b49def · outbound

This paper cites The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm.

Salamandra Technical Report The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm

Reference 1

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unresolved
no resolver link, observed 2026-08-08T04:58:30.594638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:30.594638Z digest=sha256:1409ac659977f8ce165251fcce3a7e60b78eaca258f924f845cbbafd005aea8d

Observation 67c52640-2fdf-40c3-b584-c0f6e3d0f99e · outbound

This paper cites Ungoliant: An optimized pipeline for the generation of a very large-scale multilingual web corpus.

Salamandra Technical Report Ungoliant: An optimized pipeline for the generation of a very large-scale multilingual web corpus

Reference 2

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verified exact
doi, observed 2026-08-08T04:58:35.895213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-08T04:58:30.600201Z digest=sha256:10fc3a19a236b513b83f4baebe61f175d3e44da4bf7de4b9c09a5a92cfb5fbb6

Observation 220fb4ea-78a0-4534-8020-016076ba3f40 · outbound

This paper cites Towards a Cleaner Document-Oriented Multilingual Crawled Corpus.

Salamandra Technical Report Towards a Cleaner Document-Oriented Multilingual Crawled Corpus

Reference 3

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:58:30.604464Z digest=sha256:10e32c74d9afa5f755da4580f1b63e3c0f95532cee0a6d39c0fe3f0f8fc3088d

Observation 63e39637-413b-47b6-8fd6-e3dce99630a7 · outbound

This paper cites GPT-4 Technical Report.

Salamandra Technical Report GPT-4 Technical Report

Reference 4

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source=pdf_text observed=2026-08-08T04:58:30.609704Z digest=sha256:31a5da896d6f3889e91e37fcb02f76f88ba9c2026756a2781955419da0d7613f

Observation 4e82f69e-034a-4a67-8cc4-43e9ac3d7cce · outbound

This paper cites Nemotron-4 340B Technical Report.

Salamandra Technical Report Nemotron-4 340B Technical Report

Reference 5

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no resolver link, observed 2026-08-08T04:58:30.614368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:30.614368Z digest=sha256:939b13c24876ac3fe9de2b92842abd7f7a1143712160320a0555f88ad55bde8b

Observation 3a4072f1-8379-42b0-bafc-15d18370a322 · outbound

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

Salamandra Technical Report GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 6

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no resolver link, observed 2026-08-08T04:58:30.618910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:30.618910Z digest=sha256:9bcbe67bc8776c1d28eaa3a454d53bcb03b4b2869ed25bd73fb3fd21054bdc83

Observation 3f3c143b-d89f-4fee-b9b9-1c514069580c · outbound

This paper cites Teuken-7b-base & teuken-7b-instruct: Towards european LLMs,.

Salamandra Technical Report Teuken-7b-base & teuken-7b-instruct: Towards european LLMs,

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:58:30.624033Z digest=sha256:3da80db820c7a6d7cdb8b83a5a936fbaac9b0d64f2cfb1f3f90d5f13353a05b0

Observation 0b3f2cfe-b778-4b82-8d56-13a1a86b2c79 · outbound

This paper cites The Falcon Series of Open Language Models.

Salamandra Technical Report The Falcon Series of Open Language Models

Reference 8

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:58:30.632742Z digest=sha256:b26de5179257ba2146f49f709d13fbd42d8164ef2985f844452b5ce025e0bbe2

Observation 06967e0b-c706-4ec0-9efd-a43c69c99b99 · outbound

This paper cites Alves, José Pombal, Nuno M.

Salamandra Technical Report Alves, José Pombal, Nuno M

Reference 9

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no resolver link, observed 2026-08-08T04:58:30.636892Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:58:30.636892Z digest=sha256:c39bc31472a47b0a8c1b5334ae2156a6383e71e3a8a270395f3edcb812612fde

Observation 12000d29-5c18-47e0-b7ee-e20fe3ddca37 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

Salamandra Technical Report The claude 3 model family: Opus, sonnet, haiku

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:58:30.641248Z digest=sha256:a0683cedd78f016b3c1afa0b92e1ecf7a0018f07ccbe3c4396c210e51301af9d

Observation fc790450-15ec-4505-9e3a-18519b8c841e · outbound

This paper cites Does corpus quality really matter for low-resource languages?, 2022.

Salamandra Technical Report Does corpus quality really matter for low-resource languages?, 2022

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:30.711224Z digest=sha256:1ec664ac350f853d9e51be8ab601577c95d1e16e03b0ef7f2ed9e2089eb9d8d0

Observation f51ed713-c6f1-478e-adae-cd6b4e39d9a4 · outbound

This paper cites an unresolved cited work.

Salamandra Technical Report Unresolved cited work

Reference 12

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parse uncertain
no resolver link, observed 2026-08-08T04:58:30.645460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:30.645460Z digest=sha256:14af8c7495f8aa0591354d64f7348790eeebcc94fe3e6ddc96fc50aa4b96feb4

Observation 7a550da6-8e91-417f-8580-e14cf8aa1543 · outbound

This paper cites Occiglot at WMT24: European open-source large language models evaluated on translation.

Salamandra Technical Report Occiglot at WMT24: European open-source large language models evaluated on translation

Reference 13

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malformed identifier
no resolver link, observed 2026-08-08T04:58:30.898414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:30.898414Z digest=sha256:3b3e92c4638da9bdf630d1c3a678ac29ebda59037f3fdc0c90a992f0ed15ddf3

Observation a33d7cdf-d824-4e71-b5a2-cff3f25a7753 · outbound

This paper cites Aya 23: Open Weight Releases to Further Multilingual Progress.

Salamandra Technical Report Aya 23: Open Weight Releases to Further Multilingual Progress

Reference 14

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no resolver link, observed 2026-08-08T04:58:30.812252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:30.812252Z digest=sha256:96cab38a34d3adeb2dd0f2238ed8310c2e008268f7b3321919e356c85cc7c027

Observation 2fa597ab-1e7b-4051-a1a5-e4e106cbcfd5 · outbound

This paper cites A critical analysis of the largest source for generative ai training data: Com- mon crawl.

Salamandra Technical Report A critical analysis of the largest source for generative ai training data: Com- mon crawl

Reference 15

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no resolver link, observed 2026-08-08T04:58:31.018984Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:58:31.018984Z digest=sha256:8446c878794d89567551fa2d52ba7480977c3d0d386e882c2cb50d1a620b1b1e

Observation 2c02be1c-9dd6-4470-a19d-447c3494d4b6 · outbound

This paper cites Layer Normalization.

Salamandra Technical Report Layer Normalization

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:30.959163Z digest=sha256:d4b6b1bb6531d180406a09052b1d69d30ee692886d588b0b0154232e4407ce65

Observation 5e37d65b-903c-466c-a2fd-c4c98b65f889 · outbound

This paper cites The belebele benchmark: a parallel reading comprehension dataset in 122 language variants.

Salamandra Technical Report The belebele benchmark: a parallel reading comprehension dataset in 122 language variants

Reference 17

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no resolver link, observed 2026-08-08T04:58:31.185436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.185436Z digest=sha256:24fe9893a49e8881ce305de0a407401253c20be79f64bd2263e3a08ea7528071

Observation 87d23732-6423-4063-89cd-24b023db3d64 · outbound

This paper cites Qwen Technical Report.

Salamandra Technical Report Qwen Technical Report

Reference 18

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no resolver link, observed 2026-08-08T04:58:31.116638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.116638Z digest=sha256:e520e85450f5f6fe235e8bfc1bb5c52b3b87fe335ac9454c85a6f5b0aef64739

Observation db6779ca-b166-4f12-9359-af7daee1e08a · outbound

This paper cites IberoBench: A benchmark for LLM evaluation in Iberian languages.

Salamandra Technical Report IberoBench: A benchmark for LLM evaluation in Iberian languages

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.194765Z digest=sha256:c00c906aa7c3ce324119b634634e828d1b096d54b7949c14567956536dd54969

Observation 33f68010-a218-45b3-931f-05df1c306d3e · outbound

This paper cites A unified taxonomy of harmful content.

Salamandra Technical Report A unified taxonomy of harmful content

Reference 20

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no resolver link, observed 2026-08-08T04:58:31.190457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.190457Z digest=sha256:287f82ea554acc9452143464e36953eb668094e142d1733cfb47c2694a447a9f

Observation b2d6b152-e726-47ef-aa32-1d65be721c5c · outbound

This paper cites Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell.

Salamandra Technical Report Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell

Reference 21

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no resolver link, observed 2026-08-08T04:58:31.203202Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:58:31.203202Z digest=sha256:985618678f5b6bfb215e53439ae653f95b0a627920c857bba2668e4edf746c90

Observation c5496014-54d3-439e-b5bc-23fbb5a3380b · outbound

This paper cites an unresolved cited work.

Salamandra Technical Report Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-08T04:58:31.198798Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.198798Z digest=sha256:3eeea2fc1e72e3e4f2d9d67995e10f7ef86bd84c39434cb2f740972303a4c7cb

Observation f088f19c-2120-4ed9-81dd-e2dee2da2ec0 · outbound

This paper cites GPT-NeoX-20B: An Open-Source Autoregressive Language Model.

Salamandra Technical Report GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Reference 23

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no resolver link, observed 2026-08-08T04:58:31.211099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.211099Z digest=sha256:f2d16e5975ad8663d25e5fc2c16bc9cf2d82bf335de1305dbe443a4e6f634473

Observation 0ae0524d-8319-4de5-9d63-95809a34d254 · outbound

This paper cites Pythia: A suite for analyzing large language models across training and scaling.

Salamandra Technical Report Pythia: A suite for analyzing large language models across training and scaling

Reference 24

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no resolver link, observed 2026-08-08T04:58:31.207120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.207120Z digest=sha256:38bf1ce3d95acb1ebf8b07fbce7d2ff816c09c9e4b9aea76e3dc136823e08196

Observation 89f62828-2e93-4263-aece-13a84d86c4cc · outbound

This paper cites Community OSCAR: A community effort for multilingual web data,.

Salamandra Technical Report Community OSCAR: A community effort for multilingual web data,

Reference 25

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no resolver link, observed 2026-08-08T04:58:31.220209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.220209Z digest=sha256:1d17b50dfe748bbe4b1e950889071a7773c9cc4ca925783ac00adba65d910751

Observation e6f06a52-dd7e-44a5-9379-cbaf77c01f63 · outbound

This paper cites Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models.

Salamandra Technical Report Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models

Reference 26

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no resolver link, observed 2026-08-08T04:58:31.215918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.215918Z digest=sha256:91c9c90fb9ae2f9051240779d0182fae8eb462b5d01eae202ff16eb021bc9141

Observation 8a597873-cb62-4dd5-a97f-3287914cad11 · outbound

This paper cites Pretrained biomedical language models for clinical NLP in Spanish.

Salamandra Technical Report Pretrained biomedical language models for clinical NLP in Spanish

Reference 27

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no resolver link, observed 2026-08-08T04:58:31.234655Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.234655Z digest=sha256:47e0eb61ba0a6574f402b4233979146f6e171fc6c66d3e04e784910fb599d392

Observation 4c2a825d-b907-4bdc-80bc-6126e0b6e6d4 · outbound

This paper cites an unresolved cited work.

Salamandra Technical Report Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-08T04:58:31.225395Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.225395Z digest=sha256:102a5d587a9c27f220944ac9ab3017e01a3f127a58f649f2fb8807b9bd6f2c5e

Observation b2b5a7b5-c8d7-4633-923c-18ca52d607d2 · outbound

This paper cites Language Models are Few-Shot Learners.

Salamandra Technical Report Language Models are Few-Shot Learners

Reference 29

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no resolver link, observed 2026-08-08T04:58:31.230158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.230158Z digest=sha256:2ce667bcba609f498eda2c07870a62a15adf58ff6100ea0ecd170a22a549dc31

Observation c983a0c3-bab0-4f8c-8e73-e8054066fe14 · outbound

This paper cites Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure.

Salamandra Technical Report Cross-Lingual Ability of Multilingual Masked Language Models: A Study of Language Structure

Reference 30

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no resolver link, observed 2026-08-08T04:58:31.252943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.252943Z digest=sha256:10ef1f30db19017cb0f412062f6354f80fed59ba219b981384689444b626742d

Observation 9c572555-f087-43c1-92af-317ce6a78769 · outbound

This paper cites When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages.

Salamandra Technical Report When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages

Reference 31

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unresolved
no resolver link, observed 2026-08-08T04:58:31.257513Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.257513Z digest=sha256:b90f0d141abb2c0a1ca8bd2474e952b19516fddb25ee19b3ab2115fc171372a7

Observation 4a6eee30-d6ab-40a3-b183-50a421d516cf · outbound

This paper cites an unresolved cited work.

Salamandra Technical Report Unresolved cited work

Reference 32

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unresolved
no resolver link, observed 2026-08-08T04:58:31.244022Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.244022Z digest=sha256:5f6faf012e7ae0156b90c75d9f9095a70d65a1408998b85932115beb141e26c9

Observation bf14a54d-f2c2-4fe5-a114-a032e13d7bd6 · outbound

This paper cites ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages.

Salamandra Technical Report ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages

Reference 33

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no resolver link, observed 2026-08-08T04:58:31.248525Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:58:31.248525Z digest=sha256:e4dcce05daa46eb0d0d3547c1c86926fa47293f36888b1d51514711166387fc0

Observation ad7b7e7c-66b4-45b0-85eb-36f39da37ee1 · outbound

This paper cites Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?.

Salamandra Technical Report Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?

Reference 34

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no resolver link, observed 2026-08-08T04:58:31.270691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.270691Z digest=sha256:64cbf323b43b35a5553cdfc5a6862e0d17cff766b28821775215e3087866e8bd

Observation 337be174-ff9a-424a-b39b-8a77259ebc70 · outbound

This paper cites Palm: Scaling language modeling with pathways.

Salamandra Technical Report Palm: Scaling language modeling with pathways

Reference 35

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no resolver link, observed 2026-08-08T04:58:31.275666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.275666Z digest=sha256:8716856b6f0c349d11bd69bbc75641a6ba4921d176304f3bd63dc5a9ae1945db

Observation 51577d1a-a536-4b69-842c-c2efed60bad0 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Salamandra Technical Report Evaluating Large Language Models Trained on Code

Reference 37

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no resolver link, observed 2026-08-08T04:58:31.266745Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:58:31.266745Z digest=sha256:611acb45ed9d53652406642a886ef460bef935eb447dcc38306e9849f02f2cac

Observation 1770f3ad-37ff-4ad4-a51c-fedd6a239396 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Salamandra Technical Report Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 38

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no resolver link, observed 2026-08-08T04:58:31.335118Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:58:31.335118Z digest=sha256:1851359234a64253fd26408195a8cc6fe8ded6ac541b40a88ac67be1ccf9131e

Observation 38e60bdd-92b2-4754-ba22-25483a617fb0 · outbound

This paper cites COMMISSION DECISION C/2024/1459 Establishing the European Artificial Intelligence Office.

Salamandra Technical Report COMMISSION DECISION C/2024/1459 Establishing the European Artificial Intelligence Office

Reference 39

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no resolver link, observed 2026-08-08T04:58:31.351834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.351834Z digest=sha256:8fa46dd96f5936e4eedb802b6e321441d75f9961d913e1e6b6ff3f7d55ede852

Observation 41e1c82d-fb92-490b-bec6-fefbc229eb01 · outbound

This paper cites Breaking down the defenses: A comparative survey of attacks on large language models.

Salamandra Technical Report Breaking down the defenses: A comparative survey of attacks on large language models

Reference 40

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no resolver link, observed 2026-08-08T04:58:31.280087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:31.280087Z digest=sha256:c6ef4a05886b0515b17f0af259b5b83a31c26647f278564e27cee47f948cdc0d

Observation 89a56dc0-0576-4d34-b134-47498f42b8f6 · outbound

This paper cites Scaling instruction-finetuned language models.

Salamandra Technical Report Scaling instruction-finetuned language models

Reference 41

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Observation 94dd7b05-35b4-40d5-b93e-440a50b87bc1 · outbound

This paper cites Free dolly: Introducing the world’s first truly open instruction-tuned llm.

Salamandra Technical Report Free dolly: Introducing the world’s first truly open instruction-tuned llm

Reference 42

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Observation f5a7e011-d69a-42aa-a990-f234167cd1a1 · outbound

This paper cites Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023.

Salamandra Technical Report Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023

Reference 43

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Observation fb4c0acf-ca59-4e8d-b7f5-60ce33d9d808 · outbound

This paper cites RedPajama: An open source recipe to reproduce LLaMA training dataset,.

Salamandra Technical Report RedPajama: An open source recipe to reproduce LLaMA training dataset,

Reference 44

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Observation 9d88ba9b-d82c-47aa-b1ff-a97fa9e8972e · outbound

This paper cites Flor: On the effectiveness of language adaptation.

Salamandra Technical Report Flor: On the effectiveness of language adaptation

Reference 45

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Observation e430dab0-2809-4b56-a027-6362dcc20ad1 · outbound

This paper cites Unsupervised Cross-lingual Representation Learning at Scale.

Salamandra Technical Report Unsupervised Cross-lingual Representation Learning at Scale

Reference 46

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Observation b74e2e5d-b171-4596-86bc-e82c9d735b3a · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Salamandra Technical Report FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 47

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Observation d3ca32ed-15db-4f5c-ad15-0aacc4eb48cb · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Salamandra Technical Report Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 48

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Observation 57338ba8-a3c7-429b-a024-1ef179b2cab3 · outbound

This paper cites an unresolved cited work.

Salamandra Technical Report Unresolved cited work

Reference 49

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Observation a546f225-855f-4f47-ab70-b3a44e131822 · outbound

This paper cites CorpusNÓS: A massive Galician corpus for training large language models.

Salamandra Technical Report CorpusNÓS: A massive Galician corpus for training large language models

Reference 50

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Observation 102d67bf-f4a4-458c-8ee6-ebc40d5f52fd · outbound

This paper cites RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs.

Salamandra Technical Report RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs

Reference 51

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Observation 95ced1b9-d7c7-4aa6-be2d-f40b0b170ae8 · outbound

This paper cites Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus.

Salamandra Technical Report Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus

Reference 52

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Observation 2c01709c-5cc3-4546-8339-9637109b884f · outbound

This paper cites The Llama 3 Herd of Models.

Salamandra Technical Report The Llama 3 Herd of Models

Reference 53

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Observation 6305ff23-3fd7-4f97-8901-75b3c02e317b · outbound

This paper cites Language modeling with gated convolutional networks.

Salamandra Technical Report Language modeling with gated convolutional networks

Reference 54

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Observation 5b428552-b414-4299-a188-8fdbc0484632 · outbound

This paper cites an unresolved cited work.

Salamandra Technical Report Unresolved cited work

Reference 55

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Observation 52981faa-02a9-433e-b90a-c67293c6e3fc · outbound

This paper cites A new massive multilingual dataset for high-performance language technologies, 2024.

Salamandra Technical Report A new massive multilingual dataset for high-performance language technologies, 2024

Reference 56

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Observation 1f7f027b-a5ae-4010-8ca5-2a6cf7e8ea4b · outbound

This paper cites Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective.

Salamandra Technical Report Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 57

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Observation 7fd50d87-8024-4d93-92c9-fab4bbb35032 · outbound

This paper cites BLEU might be guilty but references are not innocent.

Salamandra Technical Report BLEU might be guilty but references are not innocent

Reference 58

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Observation 0b6cd4d5-7a62-4300-972f-659755a72e7f · outbound

This paper cites Ljubeši´c, and N.

Salamandra Technical Report Ljubeši´c, and N

Reference 59

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Observation 3f6c144d-914d-4cbb-aa39-1971afbec914 · outbound

This paper cites DoGE: Domain Reweighting with Generalization Estimation.

Salamandra Technical Report DoGE: Domain Reweighting with Generalization Estimation

Reference 61

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Observation 8489d50b-8e1f-4376-aa29-6143ec40784b · outbound

This paper cites A framework for few-shot language model evaluation, 12 2023.

Salamandra Technical Report A framework for few-shot language model evaluation, 12 2023

Reference 62

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Observation 65b2ed0a-3141-43c6-9429-b7eed7fcd5ad · outbound

This paper cites Datasheets for datasets.

Salamandra Technical Report Datasheets for datasets

Reference 63

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Observation d99d3fc6-cbbc-44bd-8c11-2a5a8590ddd2 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Salamandra Technical Report Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 64

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Observation f889b50b-e6cb-4d46-89f7-2c7388f0a934 · outbound

This paper cites Building a data infrastructure for a mid-resource language: The case of Catalan.

Salamandra Technical Report Building a data infrastructure for a mid-resource language: The case of Catalan

Reference 65

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Observation d4ae5ab7-7342-4596-bfa0-6763b760f45e · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Salamandra Technical Report The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 66

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Observation 8ae2c37b-1050-42f5-b6db-ab9337c000b0 · outbound

This paper cites Accelerate: Training and inference at scale made simple, efficient and adaptable.

Salamandra Technical Report Accelerate: Training and inference at scale made simple, efficient and adaptable

Reference 67

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Observation 04a2b730-5e3f-41d0-8bf2-9a5b5df1623b · outbound

This paper cites Spanish legalese language model and corpora, 2021.

Salamandra Technical Report Spanish legalese language model and corpora, 2021

Reference 68

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Observation 1fa2da1a-a372-4c62-aa87-2ded9495f0e0 · outbound

This paper cites Building a data infrastructure for a mid-resource language: The case of Catalan.

Salamandra Technical Report Building a data infrastructure for a mid-resource language: The case of Catalan

Reference 69

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Observation 2dec1fa4-8ac6-4f9b-9837-3a2afb13fed2 · outbound

This paper cites Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong- Bin Kang, M.

Salamandra Technical Report Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong- Bin Kang, M

Reference 70

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Observation 4da0fc9e-1913-4d05-8dd3-37354af09945 · outbound

This paper cites Olmo: Accelerating the science of language models.

Salamandra Technical Report Olmo: Accelerating the science of language models

Reference 71

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Observation 6263fb4d-9a6e-4382-a9b8-6db7d1d34626 · outbound

This paper cites Pile of law: learning responsible data filtering from the law and a 256gb open-source legal dataset.

Salamandra Technical Report Pile of law: learning responsible data filtering from the law and a 256gb open-source legal dataset

Reference 72

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Observation 3edb1935-527b-4afa-a7bf-06e01da1364d · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Salamandra Technical Report Measuring Massive Multitask Language Understanding

Reference 73

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Observation 3242b936-94e3-4b92-ab80-fa83e69891d8 · outbound

This paper cites The danish parliament corpus 2009 - 2017, v1, 2018.

Salamandra Technical Report The danish parliament corpus 2009 - 2017, v1, 2018

Reference 74

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Observation 16fe1935-b77b-48a5-820a-ae25bcaeba74 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Salamandra Technical Report Training Compute-Optimal Large Language Models

Reference 75

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Observation fba3f88e-c4aa-40ed-a2e3-dbc248b10f15 · outbound

This paper cites Model performance scaling with multiple data sources.

Salamandra Technical Report Model performance scaling with multiple data sources

Reference 76

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Observation be9ce50e-a42c-44a9-b51a-9d8107806dac · outbound

This paper cites Perplexed by Quality: A Perplexity-based Method for Adult and Harmful Content Detection in Multilingual Heterogeneous Web Data.

Salamandra Technical Report Perplexed by Quality: A Perplexity-based Method for Adult and Harmful Content Detection in Multilingual Heterogeneous Web Data

Reference 77

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Observation 4ef97c1c-a156-4662-b0f2-439743e09570 · outbound

This paper cites Mistral 7B.

Salamandra Technical Report Mistral 7B

Reference 78

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Observation 0eefbf6f-2ecf-4b80-bb4e-181dfd70ba05 · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

Salamandra Technical Report Measuring mathematical problem solving with the MATH dataset

Reference 79

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Observation c76821f3-14c9-4aa5-8881-04a54766a9eb · outbound

This paper cites Kobbq: Korean bias benchmark for question answering.

Salamandra Technical Report Kobbq: Korean bias benchmark for question answering

Reference 80

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Observation 49c29f55-9f91-45d1-8862-67ced2626cd0 · outbound

This paper cites NEFTune: Noisy Embeddings Improve Instruction Finetuning.

Salamandra Technical Report NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 81

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Observation bb72ad5e-ed54-4208-81fe-2e647993e273 · outbound

This paper cites The State and Fate of Linguistic Diversity and Inclusion in the NLP World.

Salamandra Technical Report The State and Fate of Linguistic Diversity and Inclusion in the NLP World

Reference 82

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Observation 7bf99f8c-bb1b-4c66-8340-9e15f1100718 · outbound

This paper cites FastText.zip: Compressing text classification models.

Salamandra Technical Report FastText.zip: Compressing text classification models

Reference 83

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source=pdf_text observed=2026-08-08T04:58:32.650160Z digest=sha256:23baaed2cba5effdda1acb3e382932f29e1b640ff53f553dc5497309ecde652f

Observation 3149b9a0-81ae-4182-9370-7ae3f845d6a7 · outbound

This paper cites Mixtral of Experts.

Salamandra Technical Report Mixtral of Experts

Reference 84

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source=pdf_text observed=2026-08-08T04:58:32.580441Z digest=sha256:d2d5356f0e98742e69f86698ab41930646bc1b61e5d27394f2f35ec7882fffda

Observation be8378b3-4cfb-4e99-a76c-8f837875ff3e · outbound

This paper cites Scaling Laws for Neural Language Models.

Salamandra Technical Report Scaling Laws for Neural Language Models

Reference 85

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source=pdf_text observed=2026-08-08T04:58:32.659346Z digest=sha256:6bc8332a26edbf9af23d0a9f6cccc5f41a0afa5d55a8392fdcbe1a45d7544fe3

Observation 68ef4846-94d3-46f3-9a5e-3dc4357937f2 · outbound

This paper cites Natural Language Processing for Dialects of a Language: A Survey.

Salamandra Technical Report Natural Language Processing for Dialects of a Language: A Survey

Reference 86

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source=pdf_text observed=2026-08-08T04:58:32.641034Z digest=sha256:3f412243c10fbd68f60628b11214bf1b8b6176ae1b934e67c91800c3bb554e48

Observation 1f62dacc-111b-4c33-981d-f83a21f7aca7 · outbound

This paper cites The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models.

Salamandra Technical Report The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models

Reference 87

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source=pdf_text observed=2026-08-08T04:58:32.668823Z digest=sha256:a3d8b416584a06e2652706d851f5a6dc9283053a35002eb52fbe56bc8facf58e

Observation 5a5e4f0d-2c60-4e5b-a850-f6e3a454a01e · outbound

This paper cites Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.

Salamandra Technical Report Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Reference 88

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source=pdf_text observed=2026-08-08T04:58:32.673443Z digest=sha256:8ef1828954bd06e4a7ec47454acd87c95fa6934a35c16b6d6c57ff14d8aced4e

Observation 1696f6b2-7d7c-4c89-81ab-dde2ff9e751f · outbound

This paper cites Bag of Tricks for Efficient Text Classification.

Salamandra Technical Report Bag of Tricks for Efficient Text Classification

Reference 89

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source=pdf_text observed=2026-08-08T04:58:32.654822Z digest=sha256:9083ba7d9ee454adf02a8ebbcc16df01aacd3ff31e8bb3de7cf4a87ed285ba5f

Observation f2707e20-43e8-4731-8ff4-2752e7d03bf6 · outbound

This paper cites Openassistant conversations-democratizing large language model alignment.Advances in Neural Information Processing Systems, 36, 2024.

Salamandra Technical Report Openassistant conversations-democratizing large language model alignment.Advances in Neural Information Processing Systems, 36, 2024

Reference 90

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source=pdf_text observed=2026-08-08T04:58:32.682650Z digest=sha256:d4ab8649025dd5cc5e73750ecb20363ca2be498b1941acc771d7f7c90692fa57

Observation 986c24da-118d-41d1-a6a5-fbd19757cb26 · outbound

This paper cites A diagram is worth a dozen images, 2016.

Salamandra Technical Report A diagram is worth a dozen images, 2016

Reference 91

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source=pdf_text observed=2026-08-08T04:58:32.664082Z digest=sha256:a4312ed2abbe9c9e03fb3f853a9da5c19f535ee3e74640974ac73b598bc22a9a

Observation f0da68e7-1f90-4208-9703-f0d30f8589f7 · outbound

This paper cites an unresolved cited work.

Salamandra Technical Report Unresolved cited work

Reference 92

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source=pdf_text observed=2026-08-08T04:58:32.690938Z digest=sha256:ca01e695ea983b9accf06119d2ae3d00fd6866bda0beacea69863dece78feadb

Observation 1af34375-a826-4163-992f-5de8a14f4489 · outbound

This paper cites NeMo: a toolkit for building AI applications using Neural Modules.

Salamandra Technical Report NeMo: a toolkit for building AI applications using Neural Modules

Reference 93

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source=pdf_text observed=2026-08-08T04:58:32.699731Z digest=sha256:2dc2ecce2a61c21b462b7eb6e8e58c70f82de7c35f9e3348a228c542e93f2ee9

Observation 9ed9e478-598d-4a04-8af0-e2a7e2eb5400 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Salamandra Technical Report Adam: A Method for Stochastic Optimization

Reference 94

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source=pdf_text observed=2026-08-08T04:58:32.678172Z digest=sha256:b56e0ca809566f73936f7579a85b68d98626a1f6325692b69d8463ae86006160

Observation 0ee86f58-0e8a-4328-a395-995b27cb11f6 · outbound

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

Salamandra Technical Report SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing

Reference 95

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source=pdf_text observed=2026-08-08T04:58:32.709236Z digest=sha256:6faa49ff1ef1cc87e87eb9b6660f7ce92cfc3fb45c46d4218c32a90b3e955295

Observation 230ab4c0-59c2-4e51-804c-b92cd101396c · outbound

This paper cites Eesti keele ühendkorpuste sari 2013–2021: mahukaim eestikeelsete digitekstide kogu.

Salamandra Technical Report Eesti keele ühendkorpuste sari 2013–2021: mahukaim eestikeelsete digitekstide kogu

Reference 96

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source=pdf_text observed=2026-08-08T04:58:32.686828Z digest=sha256:172ce028cc4bd39a6ad1ea379f2dfb00f96a8140bc68c69d2a58dd4fa318968b

Observation 367745ac-1137-414e-bd7f-fdc06ba11dc9 · outbound

This paper cites Towards a comprehensive taxonomy and large-scale annotated corpus for online slur usage.

Salamandra Technical Report Towards a comprehensive taxonomy and large-scale annotated corpus for online slur usage

Reference 97

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source=pdf_text observed=2026-08-08T04:58:32.718242Z digest=sha256:eced393234f332b138b9fc200d4002cfbc56601ac1f38fc3d007e4cd0a7666c4

Observation 08e37f18-ed7d-4baa-9c1d-d699cd22fea6 · outbound

This paper cites URL https://aclanthology.org/2022.tacl-1.4.

Salamandra Technical Report URL https://aclanthology.org/2022.tacl-1.4

Reference 98

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source=pdf_text observed=2026-08-08T04:58:32.695434Z digest=sha256:df714fb6fe19431c4821a007fd599ce98916c7c6253dfa2aa19af8bd1c6a0f71

Observation dab877e1-0ec5-4823-98a1-2bb2fd09a82b · outbound

This paper cites OpenAssistant Conversations -- Democratizing Large Language Model Alignment.

Salamandra Technical Report OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Reference 99

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source=pdf_text observed=2026-08-08T04:58:32.790583Z digest=sha256:f98905b272ffb125242e9458d37f45ee05cd2dc795e867ff4e85f29ba9169855

Observation 45928ba9-3d46-45e6-9c60-85c881b998bf · outbound

This paper cites Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates.

Salamandra Technical Report Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

Reference 100

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source=pdf_text observed=2026-08-08T04:58:32.704339Z digest=sha256:526d617e23efe5e7272426b2e23f3648a41262296d109269cfb64a0d4fd47e22

Observation 58999946-4589-4391-b73a-324bb1902b17 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Salamandra Technical Report Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 101

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source=pdf_text observed=2026-08-08T04:58:32.965008Z digest=sha256:32c3fc1c597a67b60fcdabd5b2333f6dee9314035a8af26d4dae8434297bba66

Observation f928b6e3-1e84-4be3-a464-6bf28a782fd0 · outbound

This paper cites Operational- izing a national digital library: The case for a norwegian transformer model.

Salamandra Technical Report Operational- izing a national digital library: The case for a norwegian transformer model

Reference 102

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source=pdf_text observed=2026-08-08T04:58:32.713943Z digest=sha256:2c016d7a4a5d6e7308c8ae03c366baeef3f0e968f6dfc8e26fa03a39bac7fda9

Pith citing papers

Observation f55cc34c-fabb-4351-b251-e3c574cce19c · inbound

Bielik 11B v2 Technical Report cites this paper.

Bielik 11B v2 Technical Report Salamandra Technical Report

Reference 39

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source=arxiv_source observed=2026-08-16T00:58:14.921974Z digest=sha256:c2891af8d5ff2eb7d28cad7dcf7ee52b35cc29be0d45d65bc2235fbc7a8d568b

Observation f1699fb5-a49c-475b-93a0-300a6acd745b · inbound

MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP cites this paper.

MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP Salamandra Technical Report

Reference 20

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source=arxiv_source observed=2026-08-07T10:47:01.925790Z digest=sha256:00ae4ce3a1a6f03f05e0a21bdc06ddd46f83f33aa47c94d2baee50bc2f7605b9

Observation 67e3eb53-b9d2-48db-97ac-fc489cd68fe4 · inbound

EsBBQ and CaBBQ: The Spanish and Catalan Bias Benchmarks for Question Answering cites this paper.

EsBBQ and CaBBQ: The Spanish and Catalan Bias Benchmarks for Question Answering Salamandra Technical Report

Reference 28

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source=arxiv_source observed=2026-08-06T17:20:21.769004Z digest=sha256:893164aca3ba3a75d26f9e435801656b84a8f45aed5e17bc11db4f367ce73718

Observation 13a255ad-5126-46d8-932e-9c59b08293e0 · inbound

Do LLMs exhibit the same commonsense capabilities across languages? cites this paper.

Do LLMs exhibit the same commonsense capabilities across languages? Salamandra Technical Report

Reference 9

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source=arxiv_source observed=2026-08-04T23:43:02.386264Z digest=sha256:7825afc796f2a577a7e791a8f523d61fc0c3ad75584b0a3256095d38fbd78084

Observation 2a290332-dc3f-4128-b4d5-1892a1d1f341 · inbound

TildeOpen LLM: Leveraging Curriculum Learning to Achieve Equitable Language Representation cites this paper.

TildeOpen LLM: Leveraging Curriculum Learning to Achieve Equitable Language Representation Salamandra Technical Report

Reference 18

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arxiv_id, observed 2026-05-15T15:00:05.781830Z

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source=pdf_text observed=2026-05-15T14:56:31.218106Z digest=sha256:e34d059170a569aa9495cf35bf903f9c52f50af62e91648273dc55467b99430f

Observation d4a4cf38-4987-4605-ae28-cfdf463f3576 · inbound

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity cites this paper.

XL-SafetyBench: A Country-Grounded Cross-Cultural Benchmark for LLM Safety and Cultural Sensitivity Salamandra Technical Report

Reference 15

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arxiv_id, observed 2026-05-11T19:41:11.073421Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T11:08:22.322879Z digest=sha256:1961a66efafe19e25df4c0a26305bf2f405ea49dd784a5f03d3065341200d40a

Observation 5eea6a91-bcab-4a9a-b770-bd5091c5ed04 · inbound

S-DiverSe: Spanish Diverse Speech cites this paper.

S-DiverSe: Spanish Diverse Speech Salamandra Technical Report

Reference 17

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source=pdf_text observed=2026-07-12T04:08:13.798171Z digest=sha256:14cf440e7a2fa029a18ea2c81b1afbb5d9bb0e30b037aac838fc0f19e17619fb

Observation 4b79843e-7687-4343-88dc-fd2f856b3687 · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English Salamandra Technical Report

Reference 26

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source=pdf_text observed=2026-07-13T03:06:27.991558Z digest=sha256:4ea2657343c9237195a5ad71e4ea89db2996a8a780c33d39f1a1953dbca5aed8

Observation 3b046c29-2472-443a-8f0a-f3c304690005 · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English Salamandra Technical Report

Reference 26

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source=pdf_text observed=2026-07-14T15:13:39.458378Z digest=sha256:5e5d39e7f951bb9139ce17f40bf3e42fc3e8df8340d8c7c80030f17baf9b2d13

Observation 6348ecb6-05a5-42e4-9925-4c0a236391fe · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English Salamandra Technical Report

Reference 26

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source=pdf_text observed=2026-08-02T07:45:32.774662Z digest=sha256:9dd2e8f36c65684db0439499ef3c3e6702ee06b1399dd90039358b4f57558df2

Observation 8a2a639d-3da8-4a5f-8fa3-e7310138e080 · inbound

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations cites this paper.

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations Salamandra Technical Report

Reference 42

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source=pdf_text observed=2026-07-31T11:25:39.558643Z digest=sha256:95583f59a44b9d30de37b816ce3d4b731464144146995c71b51311edcd356bad

Observation 82ba66b6-9665-45fe-a875-8bee3e2f3180 · inbound

Analysis of Numerical Localisation in LLM Translations cites this paper.

Analysis of Numerical Localisation in LLM Translations Salamandra Technical Report

Reference 19

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source=pdf_text observed=2026-08-08T17:41:29.129068Z digest=sha256:dc7400f7b19158b021433a8da9bd9e96d42f2f7a7dfab9f355e6319261da9baa