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Paper Citation Record · LEDGER

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.03532.

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

pith.paper-citation-record.v1
2608.03532 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:11:47.748499Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

  • verified exact3
  • verified fuzzy8
  • unresolved20
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 139fb7dd-90b7-4672-9e0a-9e51e440b822 · outbound

This paper cites Advances in neural information processing systems , volume=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Advances in neural information processing systems , volume=

Reference 1

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no resolver link, observed 2026-08-05T17:11:45.268874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4aa98cce-e707-44e4-9e00-496e6b1f9f5a · outbound

This paper cites GPT-4 Technical Report.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili GPT-4 Technical Report

Reference 2

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source=arxiv_source observed=2026-08-05T17:11:45.304442Z digest=sha256:ade8a062159a7fbb4d24c8f4b9c25931cc3eedf5b29950bf799894f146caf383

Observation 545aa8ad-9096-4bd3-b45b-79580f1bb1d4 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 3

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source=arxiv_source observed=2026-08-05T17:11:45.386662Z digest=sha256:f5683b4fc1eba695b6f9c93a355bad938b24f204961b5406123f6a329c7868db

Observation dc7ec28c-5e7f-437d-b8d9-4f8020ca50d7 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Gemini: A Family of Highly Capable Multimodal Models

Reference 4

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no resolver link, observed 2026-08-05T17:11:45.476627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b42ee21-2fe6-4171-855c-ba17cfa1b641 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2022 , pages=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Findings of the Association for Computational Linguistics: ACL 2022 , pages=

Reference 5

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no resolver link, observed 2026-08-05T17:11:45.543291Z

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source=arxiv_source observed=2026-08-05T17:11:45.543291Z digest=sha256:b662de5b1286ddc3428f553b9375ced5ba5f0655d6d61289a29851f0740fa9e4

Observation 23587172-b383-4a85-b192-55bdfcbcdcda · outbound

This paper cites I'm sorry to hear that.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili I'm sorry to hear that

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d1ab5eae-8d04-4350-9fae-dc2e938da55e · outbound

This paper cites MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs

Reference 7

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Observation 4b5e28fa-164a-47fa-b850-a8e29caba66d · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:45.769027Z digest=sha256:89922d926c8a444c188e307fdb77b3a74cb0d18dab32dccf3e2a93a84955f1d7

Observation be18baa7-822e-4150-b148-39bc15cf6a0d · outbound

This paper cites arXiv preprint arXiv:2510.02362 , year=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili arXiv preprint arXiv:2510.02362 , year=

Reference 9

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verified exact
arxiv_id, observed 2026-08-05T17:11:49.610669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:45.827586Z digest=sha256:ef4a1e42ebd4ece53939df6fc8798fe4b17a3e3f248c931fbb10ca9c3e751be2

Observation a6281ca4-3440-4875-9596-d27f53581b48 · outbound

This paper cites Discrimination by LLMs: Cross-lingual Bias Assessment and Mitigation in Decision-Making and Summarisation.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Discrimination by LLMs: Cross-lingual Bias Assessment and Mitigation in Decision-Making and Summarisation

Reference 10

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local_arxiv, observed 2026-08-05T17:11:49.293907Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:45.907389Z digest=sha256:06d1f870de37117db4f92dffb19cb5c05ec1767bd7efe1bdf86909385e84542b

Observation 9d7a1ab1-6886-40ff-99e6-80d1e2dc2631 · outbound

This paper cites arXiv preprint arXiv:2510.22823 , year=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili arXiv preprint arXiv:2510.22823 , year=

Reference 11

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no resolver link, observed 2026-08-05T17:11:45.972244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:11:45.972244Z digest=sha256:53ff4acff310aa4ead09d2d6e470e8d9aee0af77512f80398b8163366d3d6fbe

Observation 89a75384-5c9b-4e02-ada4-e090213095fc · outbound

This paper cites Patterns , volume=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Patterns , volume=

Reference 12

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no resolver link, observed 2026-08-05T17:11:46.080949Z

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source=arxiv_source observed=2026-08-05T17:11:46.080949Z digest=sha256:ce9b8371f67d55a03acd99be6b22ca1807716a2cd08593f0b529f6f9569fe450

Observation 632c53be-588a-45db-9dcc-19312287c267 · outbound

This paper cites arXiv preprint arXiv:2512.16029 , year=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili arXiv preprint arXiv:2512.16029 , year=

Reference 13

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verified exact
arxiv_id, observed 2026-08-05T17:11:49.079754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:46.141598Z digest=sha256:a3cf452512fd82bf149383aa028981b6bb44d91121c683cd2e456cc6e7dcf258

Observation 158d5b32-5493-4077-96f2-d6691bfefd0f · outbound

This paper cites 2026 , howpublished=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili 2026 , howpublished=

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:46.205533Z digest=sha256:4031de733176a505229358644318d56cd63f9df79c8a601db6f9d3ec9e20e87e

Observation d5e71f74-3316-4a22-91b4-87fd5cdccce7 · outbound

This paper cites Low-Resource Languages Jailbreak GPT-4.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Low-Resource Languages Jailbreak GPT-4

Reference 15

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no resolver link, observed 2026-08-05T17:11:46.281928Z

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Unavailable: canonical work link unavailable.

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Observation bcd65a36-dce3-4527-9116-0fbfebe957b0 · outbound

This paper cites The Innovation , year=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili The Innovation , year=

Reference 16

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no resolver link, observed 2026-08-05T17:11:46.348960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:11:46.348960Z digest=sha256:22b287056e7cf16a48343756c20dde1c7504d33af0c4dd7bf52c0afbff761929

Observation 0866cb1e-821f-4a9f-b13f-3c54b4627491 · outbound

This paper cites an unresolved cited work.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-05T17:11:49.735957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b2967f57-9014-4ab7-8d54-3c27152a142e · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:46.459549Z digest=sha256:b2b74c596cb6a7e4dc56c83c71aa04973dde6f70f540ead1af852eb58418d4bd

Observation cbb7c003-079c-4e21-a0e2-0d9e63dcf65a · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:46.551435Z digest=sha256:c8739d971fa2e1712f1bdf9e475d270eb71204f170c88dfd6d8205a07fb72837

Observation 41c0fbbc-1ca5-4c2b-8d44-f40ab0bbac35 · outbound

This paper cites How Reliable is Multilingual LLM-as-a-Judge?.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili How Reliable is Multilingual LLM-as-a-Judge?

Reference 20

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metadata mismatch
local_arxiv, observed 2026-08-05T17:11:48.654872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 04bc5973-d026-4b95-ba16-2d566b78e811 · outbound

This paper cites Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Reference 21

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no resolver link, observed 2026-08-05T17:11:46.713413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5c16a23d-a00f-472a-8478-5ec847123d09 · outbound

This paper cites Advances in neural information processing systems , volume=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Advances in neural information processing systems , volume=

Reference 22

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no resolver link, observed 2026-08-05T17:11:46.785328Z

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source=arxiv_source observed=2026-08-05T17:11:46.785328Z digest=sha256:f1acd4b2bf5bdd16d921838c2eee7d0da1e11da9dd4a41435591434e597a82c9

Observation e733272a-c8ef-4e21-b16c-14c687f8eeb1 · outbound

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

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 23

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no resolver link, observed 2026-08-05T17:11:46.847137Z

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Unavailable: canonical work link unavailable.

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Observation e24af8c1-9cbd-4903-8019-61ea1d541809 · outbound

This paper cites R eal T oxicity P rompts: Evaluating Neural Toxic Degeneration in Language Models.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili R eal T oxicity P rompts: Evaluating Neural Toxic Degeneration in Language Models

Reference 24

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no resolver link, observed 2026-08-05T17:11:46.906524Z

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Observation 69d485d3-69a6-4a8b-9748-2931c9f74035 · outbound

This paper cites On the Cross-lingual Transferability of Monolingual Representations.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili On the Cross-lingual Transferability of Monolingual Representations

Reference 25

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no resolver link, observed 2026-08-05T17:11:46.961263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 648fe670-6d4f-4265-8748-5bcea76a6eb2 · outbound

This paper cites Proceedings of the 58th annual meeting of the association for computational linguistics , pages=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Proceedings of the 58th annual meeting of the association for computational linguistics , pages=

Reference 26

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no resolver link, observed 2026-08-05T17:11:47.046874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:11:47.046874Z digest=sha256:b9b1e2b8324e4192eaa47a77eed88e3dbd0db00b529576584f79327521481b0c

Observation 43ac67fa-d10e-43ea-a1b7-cd1b60d06edb · outbound

This paper cites Frontiers of Computer Science , volume=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Frontiers of Computer Science , volume=

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-05T17:11:49.689938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:47.106418Z digest=sha256:6018f57d3251785c66ce090ed6704b318280816fe224c41767c4ab91f7451650

Observation 8193dc4b-da04-4860-a7ca-5301cdde4b5d · outbound

This paper cites Do Llamas Work in E nglish? On the Latent Language of Multilingual Transformers.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Do Llamas Work in E nglish? On the Latent Language of Multilingual Transformers

Reference 28

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no resolver link, observed 2026-08-05T17:11:47.216741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:11:47.216741Z digest=sha256:22548aff9906ec97f2224ea84fdcbcdfd69723e4ad435995ef2e15ffc7507e79

Observation d1139a33-f1a7-4e8e-a218-3571539424c2 · outbound

This paper cites The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities

Reference 29

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no resolver link, observed 2026-08-05T17:11:47.269056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:11:47.269056Z digest=sha256:db9891c2d614a2f2a85fb4c5df9073239615e2f964fec20ce39bef7a57e73050

Observation ea81c056-942d-4bf7-a45c-2f7df430ed94 · outbound

This paper cites 2025 , eprint=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili 2025 , eprint=

Reference 30

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no resolver link, observed 2026-08-05T17:11:47.289369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:11:47.289369Z digest=sha256:5ff28155dd2c91f466f43fc2aaadca9f823631b0ed7171a8549ee97c79a40572

Observation 3c971104-0025-43fe-a4be-2d6607ba310c · outbound

This paper cites 2020 , url=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili 2020 , url=

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-05T17:11:49.674044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:47.451361Z digest=sha256:59cc820a1af97eb0843290a916e734b37732eda789edc5c12cff2fcadc65894d

Observation 2cb332cd-7c56-428e-88ad-75a0a7be2520 · outbound

This paper cites arXiv preprint arXiv:2601.20009 , year=.

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili arXiv preprint arXiv:2601.20009 , year=

Reference 32

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verified exact
arxiv_id, observed 2026-08-05T17:11:48.312336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:47.577559Z digest=sha256:7b516f1143f6509b32857b5eab3be06d88a8baebc7bb8b4a7226d80ebb5cfad6

Observation 2fc7b6d7-cd66-42a4-9ac3-7a10a3baf6e2 · outbound

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

Cross-Lingual Bias in Large Language Models: A Comparative Analysis of English and Swahili Advances in Neural Information Processing Systems , volume=

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-05T17:11:49.664158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:11:47.748499Z digest=sha256:807043de122abb3a7fe79d8917238a69cf7ae99ce609c64c1b3db0e489544492

Pith citing papers

No inbound Pith citation observations are available.