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Paper Citation Record · LEDGER

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers

As of 10 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2507.14353.

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

pith.paper-citation-record.v1
2507.14353 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:14:08.865221Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:41:26.987500Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:41:28.236142Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0cf5708d-c39d-4ab9-8afe-9aaeaff9560f · outbound

This paper cites and Georg, K.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers and Georg, K

Reference 1

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no resolver link, observed 2026-08-06T16:14:05.985288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:05.985288Z digest=sha256:e741716ed14947d12731ee0a63e867186b85856ed910b79dc29796e193b48aa4

Observation de32797c-f7cd-4457-a3c5-c7af1f567fe0 · outbound

This paper cites The equivalence of finite and infinite impulse iterative neural networks.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers The equivalence of finite and infinite impulse iterative neural networks

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T16:14:12.200665Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:06.070043Z digest=sha256:514ef5773a534b8bfb919b268e653be471ad416d9301ba7e3cefcbd4c3e0f719

Observation 675cc309-632f-43a2-aae9-e400349ee7cc · outbound

This paper cites B it F it: Simple parameter-efficient fine-tuning for transformer-based masked language-models.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers B it F it: Simple parameter-efficient fine-tuning for transformer-based masked language-models

Reference 3

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no resolver link, observed 2026-08-06T16:14:06.186973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:06.186973Z digest=sha256:08d8770983956893ee274bdbfd5041802f96f0b9d7709dfac9be348f47fe53a0

Observation 99d81352-58c1-4e63-b97a-bc41b5ce9103 · outbound

This paper cites V., and Salakhutdinov, R.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers V., and Salakhutdinov, R

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-06T16:14:12.027152Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:06.277304Z digest=sha256:12eea063d4ca58630e49b3c2b9edffe9b35e4baf01e8e7c56292b8fb84ae78bf

Observation da3ce51a-00f9-434b-94de-f887363fe57a · outbound

This paper cites A., Oldeman, B., Paffenroth, R., Sandstede, B., Wang, X., Zhang, C., et al.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers A., Oldeman, B., Paffenroth, R., Sandstede, B., Wang, X., Zhang, C., et al

Reference 5

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raw_fallback, observed 2026-08-06T16:14:11.889278Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:06.381038Z digest=sha256:563daca52cd403a529246e12402438758748933ad0bc440ef400b4cdd0d33777

Observation de689b45-b304-4dac-91db-98ebb97cc771 · outbound

This paper cites Next Generation Reservoir Computing.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Next Generation Reservoir Computing

Reference 6

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no resolver link, observed 2026-08-06T16:14:06.502858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:06.502858Z digest=sha256:a49d8ccf96c09cc26352d904d63eaf3d5dfbba63823b83a08f7bed7065f3ff9e

Observation e1ec1e06-7ae2-400c-9a10-2c0ad142ba5d · outbound

This paper cites Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:06.581635Z digest=sha256:8877292829225f60f3f298d54309310c69b0beab13b3ce69cb27a8eedaf01b09

Observation 144aac33-491e-4940-8c3e-899d5aa77b1c · outbound

This paper cites Deep residual learning for image recognition.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Deep residual learning for image recognition

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:14:11.751504Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:06.662580Z digest=sha256:e65a48b2a006c7ca68ae852b85bfaa1e6ac0696038b5ab77bd44c7145601e3d8

Observation 0a541db3-bcc1-4383-acc2-1da61410de12 · outbound

This paper cites Exploring neural network structure through iterative neural networks: Connections to dynamical systems.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Exploring neural network structure through iterative neural networks: Connections to dynamical systems

Reference 9

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raw_fallback, observed 2026-08-06T16:14:11.553495Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:06.774703Z digest=sha256:c67850e8e711ef801026be043a5194724db87a17c5c3bd1c5b20804487fd749f

Observation d3a29ef4-d88a-49a7-a2e6-a28970409375 · outbound

This paper cites Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Rethinking the Relationship between Recurrent and Non-Recurrent Neural Networks: A Study in Sparsity

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:06.864408Z digest=sha256:ea9fc693c2397acac0ac6d83937d3b7a7ddbe798d12c774d3d297db0b082b028

Observation 86caadeb-05aa-44eb-a852-91e96104e123 · outbound

This paper cites Parameter-efficient transfer learning for NLP.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Parameter-efficient transfer learning for NLP

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T16:14:11.376099Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:06.944590Z digest=sha256:5b84a3890cf0a640776a1a0bd71de653a8c718f449ec62fcbf78f5224a67008e

Observation 43c796bd-f01e-423a-a1b8-3fd037588ed4 · outbound

This paper cites Parameter-Efficient Transfer Learning for NLP.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Parameter-Efficient Transfer Learning for NLP

Reference 12

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no resolver link, observed 2026-08-06T16:14:07.051277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:07.051277Z digest=sha256:40691a4da217501008bb5c1fb8cac4d62a82f52e99953dca0b9159ddf4b68d2b

Observation 4ba02bb3-e57a-45ef-b08d-8c4bb545b79f · outbound

This paper cites J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:07.201393Z digest=sha256:ddd162a11ebe42284594f7105ab545fca353f8e8a4cba345f69e1373ba17857f

Observation bd32a0e3-f2fe-434f-9a45-9f87c0cd7fea · outbound

This paper cites J., Blankevoort, T., and Asano, Y.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers J., Blankevoort, T., and Asano, Y

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T16:14:11.173141Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:07.325657Z digest=sha256:e99ba4e17242155928bb9e6a1092d52550a3f5f4170b8ef61b21bdb1d956dd06

Observation 51e738fd-d47e-47ff-8ce5-a03ceca1291d · outbound

This paper cites Deep learning.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Deep learning

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T16:14:10.967288Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:07.433857Z digest=sha256:fd04e59e88304913a3e18db0357fb660b407e90ca93d5a8b5d0fb241c19e7d03

Observation ad3cb65b-8865-4d60-8fdb-8f11f58c0364 · outbound

This paper cites and Paffenroth, R.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers and Paffenroth, R

Reference 16

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no resolver link, observed 2026-08-06T16:14:07.548155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:07.548155Z digest=sha256:39810888573e28bf42b31ebc53688958d161101c421489ffa6618ed9cb20f959

Observation 074e87a4-517d-4b71-b3e7-1dfb22225295 · outbound

This paper cites The E 2 E dataset: New challenges for end-to-end generation.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers The E 2 E dataset: New challenges for end-to-end generation

Reference 17

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no resolver link, observed 2026-08-06T16:14:07.591764Z

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source=arxiv_source observed=2026-08-06T16:14:07.591764Z digest=sha256:88a299f5a604d4bf9041e9d476f95cd8d7153920dd148619ed57f8690e4eb99e

Observation 7c3896b1-6307-418a-b618-e5516bee04a2 · outbound

This paper cites an unresolved cited work.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Unresolved cited work

Reference 18

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:07.651188Z digest=sha256:d73e1aab4d33a4bda15b1dad87752e63c934b0e269ba490b4c4e083e9a9e8ced

Observation 2e44e7e4-b38d-45be-bb62-f2ce254306b8 · outbound

This paper cites an unresolved cited work.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Unresolved cited work

Reference 19

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:07.747183Z digest=sha256:59cb1b2f7c6cc08047d04ae489b0ce7b08affd60219122ba5f5a2bd29e32b9c4

Observation a49cd732-a6c8-4a09-978b-b31cb04636d4 · outbound

This paper cites an unresolved cited work.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Unresolved cited work

Reference 20

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:07.820490Z digest=sha256:608b5fc233e7126e1cb5717c7fc7962c251568de1435d8c86b9509b7ec144992

Observation 53bf8570-36f5-4005-8eb8-8b73b249091b · outbound

This paper cites N., Paffenroth, R., and Hershey, Q.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers N., Paffenroth, R., and Hershey, Q

Reference 21

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no resolver link, observed 2026-08-06T16:14:07.897371Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:07.897371Z digest=sha256:c27b8114be285904ad38cfe1ad7cd973af16f08d85608582cec256d7d021c171

Observation bc0e7f28-b10f-4b15-a896-06bd577be7fd · outbound

This paper cites Language models are unsupervised multitask learners.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Language models are unsupervised multitask learners

Reference 22

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source=arxiv_source observed=2026-08-06T16:14:08.019279Z digest=sha256:fa38a38c394a766bdd7118d86525f4765eaa2fda28b0cc5760940b9c399f58a3

Observation 45c75340-02cb-4ca5-9d91-a167c9458217 · outbound

This paper cites Tied-lora: Enhancing parameter efficiency of lora with weight tying, 2024.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Tied-lora: Enhancing parameter efficiency of lora with weight tying, 2024

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T16:14:10.511145Z

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

source=arxiv_source observed=2026-08-06T16:14:08.106665Z digest=sha256:261d57ccb8b5f8d567ce052ac6e5127dea58f3ce73a0f1f5a60edfb89bc3062b

Observation 8aba2db2-7172-46bd-93d7-87ad12d32b26 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation, 2015.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers U-net: Convolutional networks for biomedical image segmentation, 2015

Reference 24

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raw_fallback, observed 2026-08-06T16:14:10.346729Z

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

source=arxiv_source observed=2026-08-06T16:14:08.189276Z digest=sha256:7472684b0446bf992405d3ee937895fec8a03066f34fd70025c9a90899e281ff

Observation da4032cc-d0a2-49cb-b359-3ee93169dafc · outbound

This paper cites an unresolved cited work.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Unresolved cited work

Reference 25

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raw_fallback, observed 2026-08-06T16:14:10.130001Z

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

source=arxiv_source observed=2026-08-06T16:14:08.303733Z digest=sha256:2fef28027696545a7ac31f01fd8d39cd6544c4b23ee0869a60caacdb050a999e

Observation 7013bc34-9722-4614-ba4e-6b95c3cb9abf · outbound

This paper cites Fundamentals of recurrent neural network ( RNN ) and long short-term memory ( LSTM ) network.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Fundamentals of recurrent neural network ( RNN ) and long short-term memory ( LSTM ) network

Reference 26

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metadata mismatch
raw_fallback, observed 2026-08-06T16:14:09.214081Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:08.375125Z digest=sha256:73fc50dd2326b69c3b6a5f164a6d6190c8e93b198c28f07aad6c08829598571e

Observation eb6a8a72-5fc3-475f-911c-0864fe0d7b4d · outbound

This paper cites an unresolved cited work.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-06T16:14:09.862509Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:08.466656Z digest=sha256:30c13b1422ee23e381778cf1f211d2e662202f9392c9e4c942aca7e8c560ceaa

Observation 302827cf-cf21-4a64-b397-91cd485269b3 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 28

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unresolved
no resolver link, observed 2026-08-06T16:14:08.565976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:08.565976Z digest=sha256:9acd63f2546b4795292461ca30ba3e8d13791e0fc37d0f5b4999fec10306837d

Observation e85c55c4-e53c-4d34-badc-26b53609f402 · outbound

This paper cites J., Tao, X., and Wang, F.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers J., Tao, X., and Wang, F

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T16:14:09.675358Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:08.667876Z digest=sha256:4537160f91dfc90ab6fb5daaa8406b925320847bdcc64694467a96172ef07c8a

Observation 66eb37bd-2752-456f-a336-264559d320cd · outbound

This paper cites Adalora: Adaptive budget allocation for parameter-efficient fine-tuning, 2023.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers Adalora: Adaptive budget allocation for parameter-efficient fine-tuning, 2023

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T16:14:09.527879Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T16:14:08.740636Z digest=sha256:0212196dab3c1a486c6ab5eec207760620829a38b0ee13a36aeb18b3cf06a362

Observation 4f50bbb9-69bb-45a6-a752-8bf2c9946afe · outbound

This paper cites write newline.

Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers write newline

Reference 31

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unresolved
no resolver link, observed 2026-08-06T16:14:08.865221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:08.865221Z digest=sha256:4417b70f80ff3422a024abd3014a821e7d6241ee2b74f60b1132d4106452c1b9

Pith citing papers

Observation cda00d13-ad77-4496-b5c3-729cbfacc268 · inbound

Principled Curriculum Learning using Parameter Continuation Methods cites this paper.

Principled Curriculum Learning using Parameter Continuation Methods Solo Connection: A Parameter Efficient Fine-Tuning Technique for Transformers

Reference 31

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verified exact
local_arxiv, observed 2026-08-06T12:41:28.275867Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-06T12:41:26.987500Z digest=sha256:c98ca795cfa515835d7ec63bb70fb16f6bec7919f50e1728a9b275a48b6808ff