id
related bits
0
processing priority
3
site type
0 (generic, awaiting analysis)
review version
11
html import
20 (imported)
first seen date
2024-11-16 07:42:40
expired found date
2025-05-23 11:21:25
created at
2024-11-16 07:42:40
updated at
2026-02-21 14:28:41
length
16
crc
6245
tld
86
nm parts
0
nm random digits
0
nm rare letters
0
is subdomain of id
87719371 (github.io)
previous id
0
replaced with id
0
related id
-
dns primary id
0
dns alternative id
0
lifecycle status
20 (domain that definitely expired - found on some expired domains list)
deleted subdomains
0
page imported products
0
page imported random
0
page imported parking
0
count skipped due to recent timeouts on the same server IP
0
count content received but rejected due to 11-799
0
count dns errors
0
count cert errors
0
count timeouts
0
count http 429
0
count http 404
0
count http 403
0
count http 5xx
0
next operation date
-
server bits
—
server ip
-
mp import status
20
mp rejected date
-
mp saved date
-
mp size orig
15094
mp size raw text
7739
mp inner links count
18
mp inner links status
20 (imported)
title
description
Now, AI. Also, Critical Representations.
image
site name
author
Luca Herr-tti
updated
2026-02-20 12:14:31
raw text
Luca Herr-tti – Now, AI. Also, Critical Representations. Luca Herr-tti Now, AI. Also, Critical Representations. Blog About I don't get the Strong Law of Large Numbers I’ve been reading the article An Elementary Proof of the Strong Law of Large Numbers since it’s closely related to a result that I used in my RNN theory . I thought, once I understand it, I can refine my proof. However, I don’t understand it. Yet :) Read More Linear Recurrent Unit in TensorFlow 2.10 I wanted to check if my RNN theory worked on state-space models. So I implemented the Linear Recurrent Unit in TensorFlow 2.10, and since I have it, why not to share it? I tried to make it a clean code that could be easy to use and understand. In the coming days I’ll turn it into a pip package. The LRU was introduced in Resurrecting Recurrent Neural Networks for Long Sequences at ICML, and belongs to the state-space models family, which are models able to handle extremely long sequences more gracefull...
redirect type
0 (-)
block type
0 (no issues)
detected language
1 (English)
category id
index version
1
spam phrases
0
text nonlatin
0
text cyrillic
0
text characters
6048
text words
1313
text unique words
512
text lines
156
text sentences
64
text paragraphs
17
text words per sentence
20
text matched phrases
0
text matched dictionaries
0
links self subdomains
0
links other subdomains
links other domains
4 - techrxiv.org, parl.ai, openai.com, kaggle.com
links spam adult
0
links spam random
0
links spam expired
0
links ext activities
5
links ext ecommerce
0
links ext finance
0
links ext crypto
0
links ext booking
0
links ext news
0
links ext leaks
0
links ext ugc
13 - youtube.com, twitter.com
links ext klim
0
links ext generic
1
dol status
0
dol updated
2026-02-20 12:14:31
rss path
rss status
1 (priority 1 already searched, no matches found)
rss found date
-
rss size orig
0
rss items
0
rss spam phrases
0
rss detected language
0 (awaiting analysis)
inbefore feed id
-
inbefore status
0 (new)
sitemap path
sitemap status
30 (processing completed, results pushed to table crawler_sitemaps.ext_domain_sitemap_lists)
sitemap review version
2
sitemap urls count
23
sitemap urls adult
0
sitemap filtered products
0
sitemap filtered videos
0
sitemap found date
2024-11-16 07:42:40
sitemap process date
2024-12-25 04:27:47
sitemap first import date
-
sitemap last import date
-