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Paper Citation Record · LEDGER

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models

As of 23 July 2026, this Paper Citation Record lists 24 of 24 outbound references and 5 inbound Pith citation observations for arXiv:2511.01066.

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

pith.paper-citation-record.v1
2511.01066 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T01:00:49.614393Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-20T06:30:07.809122+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T15:13:39.458378Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T03:06:29.790105Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact4
  • verified fuzzy12
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f80a38b-0c21-4819-8080-ba621493f77d · outbound

This paper cites HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-18T01:02:15.471456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:8520e5d767db28f03607d90b9c6e59e274e87a35df0ebea63836d7f4f66146ee

Observation 1c5410fc-8f54-4a4f-9e0e-f96c5db3da82 · outbound

This paper cites wide crawls.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models wide crawls

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.245730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:fb6935d60cf30fbed315a2d01e0ee36effe3c22e3b76528d431fc0bed4e40492

Observation d05bea4d-e724-449e-bd81-415a8a5c080e · outbound

This paper cites | |”) and the token share of each subset of the total (“%.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models | |”) and the token share of each subset of the total (“%

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.225648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:6b58bd1dc3d86ea10ecc7a04d5ae1db14c22faba713e94a74b94c3a2e30ff1d2

Observation 19001aa8-66b8-463d-8c13-fe275eacbf21 · outbound

This paper cites an unresolved cited work.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:02:16.228634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:03193b5d8a434a05fac5c5206ee02ea3bb097dc13a4b6a6d3ca486a660c71013

Observation 375f2aa5-fb1c-419a-a512-ba3344611db8 · outbound

This paper cites (2025), we calculate descriptive statisticsforHPLT3.0usingtheHPLTAnalyticstool 6 and compare HPLT 3.0 to their dataset.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models (2025), we calculate descriptive statisticsforHPLT3.0usingtheHPLTAnalyticstool 6 and compare HPLT 3.0 to their dataset

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.242666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:42ca999976709cecc438377de3e843f4aa7c87e5a77894187fd7707e61f5d2a2

Observation b0a57aad-b592-45ca-b998-3c85bc610907 · outbound

This paper cites boilerplate.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models boilerplate

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.232323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:3990fb31e948bb8311ba75255c8dfa7070790653cadead3ea2360e42aa4086f8

Observation da9edcdf-c862-4289-ba3a-aa35da856497 · outbound

This paper cites These languages are chosen to ensure both availability of native speakers in our develop- mentteamandaminimumlevelofdiversityinterms of language resources, families, and scripts.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models These languages are chosen to ensure both availability of native speakers in our develop- mentteamandaminimumlevelofdiversityinterms of language resources, families, and scripts

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.239137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:80de3dd5cde33f1a8a835674391861ee4568065a9c98f9ec0c8eed2764ab342a

Observation 53842aeb-cb71-466b-aaa3-428329265db6 · outbound

This paper cites random” sampling represents the default approach, drawing uniformly on the full dataset, while “top.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models random” sampling represents the default approach, drawing uniformly on the full dataset, while “top

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.235694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:93b2f041c504ffc97db2ecf4c343dd637823594684d039ac216be23ae39ead1c

Observation 7c7f3ca3-6783-41cc-83ae-c34411851389 · outbound

This paper cites an unresolved cited work.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:02:16.204771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:de45e2879546e8c263c339087ffeae8d9c2bc2b3ab85098104937c213bcbc3ae

Observation ab269664-41d7-4611-aced-5ab8f9b30620 · outbound

This paper cites an unresolved cited work.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:02:16.201742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:712e9d3ddf173a3cec879e91a765f5acaf119dc3ebf268a8955ee940f79344b7

Observation d3193140-155a-455b-ba7f-141f2f417d9a · outbound

This paper cites an unresolved cited work.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:02:16.198593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:ed6777e7d183b0c14157bea8951b684d2b1c21d404e41780eb2deaef989e4922

Observation 83c273b0-4884-4431-b20f-79e8f04b5f1a · outbound

This paper cites an unresolved cited work.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:02:16.192198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:623553d6e1ca298e60be3c6c795a92f87f9d11140964a220b4af704acf2a3a28

Observation 779c1a9b-3715-4e7b-903c-a2322fe458f6 · outbound

This paper cites an unresolved cited work.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-05-18T01:02:16.188961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:ecd9030b00dc67cd2f45544808932ac688b33ed2f3532d0640cec33877e48f66

Observation 8d99ffe5-bea6-4752-a9d3-f8141a7812f3 · outbound

This paper cites smallish.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models smallish

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.195389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:88201ff7d406358f6c30dc594f514ffe5c0e8bda22edbeff6d2e38283154e936

Observation 792c50e5-171b-4217-93ce-2282ec9de855 · outbound

This paper cites Alldata,models,andsoftware involved in this initiative are publicly available un- der permissive terms of use.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Alldata,models,andsoftware involved in this initiative are publicly available un- der permissive terms of use

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.222302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:e47934944720f79ce2336a076737ce22c446ff05605df9a4780627997dbd2a17

Observation e334e864-d408-4797-9c4a-e3c9c79c864c · outbound

This paper cites Datasets for lower-resourced languages can be biased in very different ways (e.g.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Datasets for lower-resourced languages can be biased in very different ways (e.g

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.218941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:cc2a280cef5adf7c26565a8a086b4e9b0904f694bd7e0822fd21767ca9c46c27

Observation f2b371d8-c2c2-4bbb-865e-3136a1b71f47 · outbound

This paper cites We do not claim that the datasets de- scribed above are completely free from defects.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models We do not claim that the datasets de- scribed above are completely free from defects

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.215229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:17c343b40f95d4cf6368753c6426c52aac29b9a6a0c04a1961a7398f137058d5

Observation d190b4cf-ee52-4b27-a1ef-f70049b37d0e · outbound

This paper cites This project has received funding from the Hori- zon Europe research and innovation programme of the European Union under Grant agreement No.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models This project has received funding from the Hori- zon Europe research and innovation programme of the European Union under Grant agreement No

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.211640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:b21897e2c0fbd88ba084e57eec70b5263f014e82f18d72f669b9c1b821c90be3

Observation c5c0f3de-fe79-45c1-87ba-9670e2749634 · outbound

This paper cites https://arxiv.org/abs/2505.14423.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models https://arxiv.org/abs/2505.14423

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:02:15.462298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:05e2324733494ff9783535f085c60831dacd9b8edc9239cb06640c7b303beba8

Observation 9b69c3a6-a263-4254-a171-99c2f98f3cf2 · outbound

This paper cites an unresolved cited work.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Unresolved cited work

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:02:15.475953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:bc088c0c72ab62bf83100412f7f0e7d1d0e3a717fd63ed3cd0694a808f9a15f3

Observation 8cab488c-e4f0-4ef2-985d-55898bf1fcd9 · outbound

This paper cites [Shen et al.2024] Shen, Huangjun, Liangying Shao, Wenbo Li, Zhibin Lan, Zhanyu Liu, and Jinsong Su.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models [Shen et al.2024] Shen, Huangjun, Liangying Shao, Wenbo Li, Zhibin Lan, Zhanyu Liu, and Jinsong Su

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:02:15.453278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:94f1ccebf8309a8fcfb6ab1bd743cf221cd263864380794eb8f75c4239967716

Observation a9e224d0-ccc2-4836-af3a-f829c6c2e537 · outbound

This paper cites Multilingual Contextualization of Large Language Models for Document-Level Machine Translation.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Multilingual Contextualization of Large Language Models for Document-Level Machine Translation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:02:15.457728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:cbdffcbe653d4b2899957c50a86d12670ca950d97c4501a424d7b6ecf8653ea9

Observation 2986415d-a81b-4e1e-93a9-eb0cbc74c6ec · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T01:02:15.466808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:dfe5c301511a3e306842e51b497509304c71392faa892847259d2873691bc6ac

Observation ad4d23e9-4619-42e9-b3af-d1ca09ca08a3 · outbound

This paper cites Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, and Yang Liu.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, and Yang Liu

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T01:02:16.208054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:2557ad9198f07a6c80660566fafdf2b7233763939b0e2290b55bac3950c824c8

Pith citing papers

Observation 3f80a38b-0c21-4819-8080-ba621493f77d · inbound

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models cites this paper.

HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-18T01:02:15.471456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:8520e5d767db28f03607d90b9c6e59e274e87a35df0ebea63836d7f4f66146ee

Observation e97eb26e-09e2-410e-917a-0e05da965ca8 · inbound

HARNESS-LM: A Three-Phase Training Recipe for Harnessing SLMs in Sponsored Search Retrieval cites this paper.

HARNESS-LM: A Three-Phase Training Recipe for Harnessing SLMs in Sponsored Search Retrieval HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-25T03:26:35.865939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-25T03:22:37.162555Z digest=sha256:c2722008c47323218dec45e161a8801673490cfe345af4d1f73d03b24b847471

Observation b2b25e38-31f4-4562-9af9-c0cddb4d6945 · inbound

KletterMix: Climbing Toward High-Quality German Pretraining Data cites this paper.

KletterMix: Climbing Toward High-Quality German Pretraining Data HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-07-02T03:06:29.792264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-06-28T10:22:13.045492Z digest=sha256:86914e6c572411ae5756110ce9d7b88752e641e60477345e5c28e63ec634e008

Observation a404806f-0623-46b7-b5ae-696e434968a9 · inbound

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

A Sovereign, Open-Source Foundation Model for German and English HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-07-13T03:06:27.991558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:06:27.991558Z digest=sha256:d2be8cb1839dfb187c6e53eb02109072aa1e9c5b86b4ef4684e0f636ddcaeea4

Observation 7d563507-1bda-4f7a-9531-bc3372c686cf · inbound

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

A Sovereign, Open-Source Foundation Model for German and English HPLT 3.0: Very Large-Scale Multilingual Resources for LLMs and MT. Mono- and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-07-14T15:13:39.458378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:13:39.458378Z digest=sha256:5ff2c76513316817d48d3873d7c63dc7268d334c49c76f0971172e8e4f4ea2e4