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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 22 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 2026-07-21T06:31:05.380196+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 fuzzy18
  • unresolved0
  • 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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:e3ea7b9b54def2278ecebe7397c714263c3232f4254dbcdb318de4f25b1bc5bb

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:32428276cfb6709e0133bf6013c464f79953590c7ea88c162db7fd174f7be525

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:009b92ab9613b13d847b973439e7c632367e26f361c3f0a002f3b028aac14711

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
verified fuzzy
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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:9a1fd6fdea9bc31a098ef66603c1df22838890abfcc2d3d2cabf76697839b44f

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:94ccd82d767edfa177bcedb1d5060104d45f6b33fb1c383ce672dc194504fa8d

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:4684908846ec3f2f99a04cd0d3c65d52f7bbb556ee47924c96c9664a6591f280

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:da9327f116dc4e21564360beaa5cc8b7cbb7f0e1f73ad60c9bca556e1b700bc9

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:2d13c58c0dabaaab423eb401f284e90cb798ef4257e447767c8520e804133b7f

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
verified fuzzy
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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:7543c480b51e74c3e45a08a1ad0adc0173c2fb1070c7c12dfde372ad307e40d5

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
verified fuzzy
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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:c70f36374c2633b7f6c8bb9488fdd029e6adbe13272de1efd73739ff7645e667

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
verified fuzzy
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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:2fda6164320d539c2f0a5d06648f9cba620e6386c39d2b0d10e34e5c803d7583

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
verified fuzzy
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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:4f074d1517578bf5ec354ff0cac287af0d3506c2c2369bc1be72dc39f4536c2d

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
verified fuzzy
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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:ff147c768a81fdea50296f9a57718a1eed5015e098899b67e664185ad56060d7

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:4f4026f757cff9980de7813ccab4b3f537709347c6a962c7f7fdba42c7466ed1

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:cfcee37323baedc19b864d38f60d13fe8a57b50c6d195b96d0d3a2326f392eb1

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:ac4366686138f258cd8584cd13cb358c57856a7f5ce127526203aac289122952

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:3f42b1837ebbd238e8c2be99a3b69a72123dab17a1b61cf4d9683a0ddeba5f4f

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:1cc4e415782da9aa130a4839280be7340a0d8289510a9afaba6a417ca15582f7

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:2cb97efaaa66f7f314ae6837f6baa3912a46d045851d6f1b1148d2e971f75dad

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:d3edae3cb3200f513b6a7ae53e5e319d57a4ab909177690fe299355878ca18ad

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:ec0847b499402101ebb775cb6e9be9f5f5e79a268781e349c799e31d0e4ed21e

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:be798fc0df00c7348684eaede60ce756f863ae87d47dd96d3fb3205dfb9a5254

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:284084b459e085a52d0a2b2cd0defd933c17b7a22a964d606f010f6b4cac1b65

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:2ad0cb9847e910da8fe937bb014586779a6c8674706120b659d8474ae1c21a07

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-18T01:00:49.614393Z digest=sha256:e3ea7b9b54def2278ecebe7397c714263c3232f4254dbcdb318de4f25b1bc5bb

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-25T03:22:37.162555Z digest=sha256:e93f4f831e4fa18c57c49e35e877f68de2ca1a35c7010453ef6f89aefbed5955

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 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-28T10:22:13.045492Z digest=sha256:33d532c5cf9d2ade58ab46f5c35d3a2955e902275baff5961ac75013bdd18325

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