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Paper Citation Record · LEDGER

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

As of 19 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 8 inbound Pith citation observations for arXiv:2506.07216.

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

pith.paper-citation-record.v1
2506.07216 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:07.031627Z

measured 42 of 42 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:01:23.129181Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:17:33.765451Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 913c9ccc-f8f1-4b48-bbae-77dd9f958b3b · outbound

This paper cites Bigalke and M.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Bigalke and M

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:15.311122Z

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=pdf_text observed=2026-08-07T05:44:02.143978Z digest=sha256:634ddb9f38d3fb52180718c35d4c08abd57ebf1513d9b84a256f93048c90e049

Observation 0476519d-b98d-426c-a3d6-b09241545562 · outbound

This paper cites Improved Regularization of Convolutional Neural Networks with Cutout.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Improved Regularization of Convolutional Neural Networks with Cutout

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:02.259691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:02.259691Z digest=sha256:49ca3c930d1f4c356d888e2ba55084838dbbdbcca3264eac73dbd977810ed7c8

Observation 3ea1e3ae-3402-4667-8cae-22355f959d48 · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:14.980377Z

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=pdf_text observed=2026-08-07T05:44:02.423984Z digest=sha256:d0591c3734a85451b863fd9aee5cf54d754db2a87ff28f5ebfa27c8a66209394

Observation 295cb936-69c6-4037-8f6b-e50d6d4290ed · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:14.658286Z

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=pdf_text observed=2026-08-07T05:44:02.576438Z digest=sha256:b71334926fa6d7ef6bb5f25bad697b024a611e00a43ee7682bc5e96c948e7123

Observation f80cf10c-37b6-49f8-bbb3-814a4ef833e4 · outbound

This paper cites VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs?

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:02.721295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:02.721295Z digest=sha256:2432c44d00fdf8851c76f99c0145bcb2679120e00320e62a2351d1056194b6b2

Observation 924a44c0-047b-4ab1-b664-3a264d476dda · outbound

This paper cites Ganin and V.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Ganin and V

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:14.405598Z

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=pdf_text observed=2026-08-07T05:44:02.960959Z digest=sha256:9f0a7f17e49bad8d4e7e7ced83fd47ee79177b0a7b627aa124c281c4c2eeddbf

Observation 9b1a25ea-6b77-4d54-bb30-130a15452abf · outbound

This paper cites LEMUR Neural Network Dataset: Towards Seamless AutoML.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? LEMUR Neural Network Dataset: Towards Seamless AutoML

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:03.095482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:03.095482Z digest=sha256:323013067c2998c815a704629948acffd123c521a23d5aa114b81e74c2435155

Observation e06dfa1f-b7d0-4ffe-a3c7-416ddfa53f35 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Explaining and Harnessing Adversarial Examples

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:03.246126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:03.246126Z digest=sha256:f8c843427d3471ffdcc8e30b9bd18086b2c88de23b079d38bf35dabc8b3b8b8d

Observation fe47c4c1-d739-4ea1-89a4-a3dd6f27aacd · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:14.041948Z

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=pdf_text observed=2026-08-07T05:44:03.352807Z digest=sha256:6bdec2b63c48512013c95a47056cc9aedc1724b423b40aeceb6bc64765cf9fe0

Observation f0f9ab7e-8bb2-450d-8cb3-727e008420c4 · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:13.725576Z

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=pdf_text observed=2026-08-07T05:44:03.531556Z digest=sha256:a2ae0b65685fe0082f48ace9a1db9703a9d80c00cb79b65f7f786c7eb04812c1

Observation 6cdbcf9b-40d5-4612-ab85-77e62556b4a2 · outbound

This paper cites Jhuang, J.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Jhuang, J

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:13.475025Z

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=pdf_text observed=2026-08-07T05:44:03.664443Z digest=sha256:0e9b31bfff58e2f8b751c00abce6c20b3ecd7ca54e6220add1fbe38f8fbe8a44

Observation 3471a989-4dc9-4e3b-b871-cb34102239e0 · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:13.154216Z

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=pdf_text observed=2026-08-07T05:44:03.792075Z digest=sha256:8d377f42e555119bbbe366782471653711e2a1a1f2bc6ed8eae74af9c533fa7f

Observation ccfb1ea5-bf85-46b9-beb4-d99b4e65c641 · outbound

This paper cites Kochnev et al.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Kochnev et al

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:12.863230Z

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=pdf_text observed=2026-08-07T05:44:03.951003Z digest=sha256:4881e39a0dc519330af8123481982086c301944eaa9362fac4744a86be126377

Observation 7bf431e4-b2de-4435-86e2-4ad4af2941e3 · outbound

This paper cites Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:04.083906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:04.083906Z digest=sha256:8e5de485141d80f442a4b920abe14ebd749705084a478549f59e05e11774ff09

Observation cca743c4-aae2-41fe-ad5c-35b028194a13 · outbound

This paper cites Krizhevsky and G.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Krizhevsky and G

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:12.579215Z

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=pdf_text observed=2026-08-07T05:44:04.240349Z digest=sha256:e7a0a621c7530bad96a68e8d2f197cdd9127603923ea2646c47b07650111ceb8

Observation d84e9553-0798-44f0-946d-14d5c9dcd45a · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:12.308379Z

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=pdf_text observed=2026-08-07T05:44:04.396053Z digest=sha256:4418b7702c3c09e74d6dee8e1f758f81052c24b71b3694931192bd2f60ed5bcf

Observation ab9aadec-2614-49da-98f5-b09da1ac3b4f · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:12.042417Z

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=pdf_text observed=2026-08-07T05:44:04.530303Z digest=sha256:17abf22f457859187d8b5b02690279b9aefa43bb471043b9b3ecc2b36dcb4f44

Observation 9927a475-33d5-461b-979b-4558610ccf7e · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:11.712601Z

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=pdf_text observed=2026-08-07T05:44:04.678324Z digest=sha256:754d5d09601c1e107a9cc3ac2b1cef9b23a8a82153f71d123334829f83c51772

Observation 413222d1-560b-4f1f-bc99-a787120e9bc4 · outbound

This paper cites Molchanov, X.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Molchanov, X

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:11.395661Z

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=pdf_text observed=2026-08-07T05:44:04.819677Z digest=sha256:628c899e4ac06356cef33e19325f6c28e325661eb1a3c95caf44ceb579343312

Observation 7b9f315f-c263-4330-8fb8-ed2a9bba24ea · outbound

This paper cites Neverova, C.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Neverova, C

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:11.132611Z

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=pdf_text observed=2026-08-07T05:44:04.979146Z digest=sha256:e56224362d830b00b879e0ef52e713dcb051d77f0ce0e8b7bc229b23caff04b6

Observation 922df466-39f2-43e2-b469-1cddb79bf6dc · outbound

This paper cites Oikonomidis, N.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Oikonomidis, N

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:10.871853Z

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=pdf_text observed=2026-08-07T05:44:05.121292Z digest=sha256:4afb052526bf90cbe626a0c0a2374b2682b4b8c556b22fb22d4a695a69cc2081

Observation a1adf561-ec30-41bf-b607-267a732d872e · outbound

This paper cites Rupani, D.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Rupani, D

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:05.242292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:05.242292Z digest=sha256:b83f4387c767183b6ae570fd93ee244cecbebba7fb5dfda6235090569019fe4c

Observation 0e3ed7cb-511a-43dc-a738-2b7fabfbb351 · outbound

This paper cites Simonyan and A.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Simonyan and A

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:10.632132Z

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=pdf_text observed=2026-08-07T05:44:05.393036Z digest=sha256:6a837c8e2b3000dd8887a3765bf712400bd19c2c07f6481db3b1e24b8b5bda85

Observation 681df82b-c968-49fc-bded-5c770ecd1c64 · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:10.346289Z

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=pdf_text observed=2026-08-07T05:44:05.493298Z digest=sha256:52dc06030abc3570e069bebafcc892d543b560fb3734f92b3413914e962356ee

Observation 9e3023c9-e5a4-4019-b854-b09ceadf08c3 · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:09.965755Z

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=pdf_text observed=2026-08-07T05:44:05.645451Z digest=sha256:df4e82c7f8fc849c5e0f5b94ab393d99957c58cb938eea8eb249ad9b7cad82d8

Observation c6f18a17-b126-4b85-8aa7-475096093b02 · outbound

This paper cites Szegedy, W.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Szegedy, W

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:09.717957Z

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=pdf_text observed=2026-08-07T05:44:05.769355Z digest=sha256:7b56224fab754853b5fe7c349fdb3d433e26563ff85feb005aab50acc129b49a

Observation a62b9a91-1499-4496-b7dd-3a79a0fe942d · outbound

This paper cites Takahashi, T.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Takahashi, T

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:09.465930Z

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=pdf_text observed=2026-08-07T05:44:05.893830Z digest=sha256:6896cad944b6666b4c0bccc807449744c4be1c39c2b7a264e29eea067eab9f1b

Observation 5a385dd3-8642-4c1e-9859-beea9e3462da · outbound

This paper cites DeMoN: Depth and Motion Network for Learning Monocular Stereo.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? DeMoN: Depth and Motion Network for Learning Monocular Stereo

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:44:07.316954Z

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=pdf_text observed=2026-08-07T05:44:06.028982Z digest=sha256:956fbae0158c830ce172bd1f0785e8d01df2f5a28f96fd4af6cf231d0ae78d18

Observation 676298a2-d454-48c9-854b-78121923f847 · outbound

This paper cites an unresolved cited work.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:09.199226Z

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=pdf_text observed=2026-08-07T05:44:06.217718Z digest=sha256:ff5a687176bb7be151cee643b299c6f73a82a8fc8f8aadd0e8186a44e8bbb7d8

Observation 3e65ab6b-9785-4e11-bbf1-8d96d3a0c589 · outbound

This paper cites Yun et al.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Yun et al

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:08.922960Z

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=pdf_text observed=2026-08-07T05:44:06.318030Z digest=sha256:1ad980e626946e4b8259446df9dd9fcc00f03f592387ae998a1985d6bcc4a66e

Observation db7a21ac-493a-47f6-bdc1-86f4032e01b7 · outbound

This paper cites Yusuf and M.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Yusuf and M

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:08.615380Z

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=pdf_text observed=2026-08-07T05:44:06.522689Z digest=sha256:0300c929ae03c56e9c634c5a8c0865362412c993844856d1d43495f1e81573ef

Observation 0fd84ff0-a275-4c3f-a8f9-92f66ac97c45 · outbound

This paper cites Zagoruyko and N.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Zagoruyko and N

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:08.330655Z

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=pdf_text observed=2026-08-07T05:44:06.722902Z digest=sha256:ca2338d566fa42b03c26b0138f93a819ce911be3d60465a96f53df1f66a7647c

Observation 15d43896-dafa-4691-87af-c12095550c3e · outbound

This paper cites Zhang, M.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Zhang, M

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:07.998690Z

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=pdf_text observed=2026-08-07T05:44:06.890100Z digest=sha256:443337d1fcff3a7c49f75eec05ff406432e3eb9121f549de47164e9c3ef2859e

Observation 2f3e7628-512d-4ee2-bc66-cf90b75e8c36 · outbound

This paper cites Zhong, L.

AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance? Zhong, L

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:07.752426Z

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=pdf_text observed=2026-08-07T05:44:07.031627Z digest=sha256:23548e057244b5a8cc47d2df61c5657de9c0f7a29aeea187bcdca465b7b2262f

Pith citing papers

Observation 5d826cc0-354f-4f4c-b9df-a0d0f8bb1d0e · inbound

VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs? cites this paper.

VIST-GPT: Ushering in the Era of Visual Storytelling with LLMs? AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T06:01:23.129181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:01:23.129181Z digest=sha256:8b793a4df684d34294ee007e66bb402c3184d6069f277c8f918fd68f9290d7a2

Observation 84f8a266-9cfe-4ab5-8040-ac673c992546 · inbound

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis cites this paper.

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:28.665425Z

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=pdf_text observed=2026-05-17T23:22:59.323897Z digest=sha256:9ca8aff9cca70c48804b6f5396f6d3bfc63e072ac507c9c98774b17ffe3b2c4b

Observation 5e20869e-57d0-49e2-b43a-ee0fb145e64d · inbound

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis cites this paper.

Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-21T19:25:31.152765Z

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=pdf_text observed=2026-05-21T19:25:25.465712Z digest=sha256:7d57c34a457314004a1e18a18f4302962a389c6e20766c3b50b71e86f67cc143

Observation 054509c1-7a39-4ed7-980d-7a6166571daa · inbound

Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design cites this paper.

Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:11:11.752424Z

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=pdf_text observed=2026-05-16T19:08:18.706760Z digest=sha256:2e51fd42cb3754c57f780f019268d5a497562a3d5b835912cc1189732c6b0e82

Observation 1c99c5fe-afb7-4713-b5c6-851ed86894d8 · inbound

Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models cites this paper.

Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-16T14:38:00.519093Z

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=pdf_text observed=2026-05-16T14:34:24.849584Z digest=sha256:0ca9b491788785529af0acd9ee3b1df708f972744873e2dd5aa7f2d89e674f27

Observation f6d5c35b-8633-476f-93d0-589b2873144e · inbound

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs cites this paper.

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:06.546215Z

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=pdf_text observed=2026-05-08T16:28:40.262681Z digest=sha256:fbbbb04258546888a862d26ac6601ef4eb8ea07261e87c741d9ef98bb6f73e69

Observation 8f7a41ef-dab4-4865-8958-fdddeb393a61 · inbound

Towards Robust Training in NNGPT AutoML Pipeline: A Loss-Optimizer Pairing Selection Study cites this paper.

Towards Robust Training in NNGPT AutoML Pipeline: A Loss-Optimizer Pairing Selection Study AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:30.560281Z

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=pdf_text observed=2026-06-26T17:46:06.322543Z digest=sha256:84eba4cb37a660679cfa94c520b4bdbce0f25784d9b17486e745cd91bf2c2da3

Observation 60c4e56a-19e6-42b5-a68b-27dc8e1d7f6b · inbound

LEMUR 2: Unlocking Neural Network Diversity for AI cites this paper.

LEMUR 2: Unlocking Neural Network Diversity for AI AugmentGest: Can Random Data Cropping Augmentation Boost Gesture Recognition Performance?

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-10T20:17:33.766748Z

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=pdf_text observed=2026-07-10T20:15:59.064352Z digest=sha256:0a6e3a4c574b0bc844d6fdea0f65bfe707c26e83ef790a840ebcb1e3c20e1390