وب سايت کتابخانه مرکزی:
Library.ut.ac.ir
آدرس:
خیابان انقلاب، خیابان ۱۶ آذر، داخل پردیس مرکزی دانشگاه تهران، کتابخانه مرکزی، مرکز اسناد و تامین منابع علمی.
Created
21 June 2016 — measured — cross-checked against a third-party dataset (TGDataset)
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 10 August 2026 and assigned it the closest of 31 fixed categories, at 54% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear word for word on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (2 of the pairs behind the counts below)
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 33 comparable posts for this entry, running 3 August 2026 to 7 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Across the whole group of 2, the earliest publisher we hold is @KETABCAST_AI_LIB_UT_AC. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
21 measurements spanning 22 days, net +183. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 24,444–24,681 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 21
Measured (UTC)
Subscribers
Change
27 Aug 2026, 12:25
24,654
+3
26 Aug 2026, 13:58
24,651
+15
25 Aug 2026, 13:25
24,636
+13
24 Aug 2026, 16:27
24,623
+34
22 Aug 2026, 21:37
24,589
+9
21 Aug 2026, 11:46
24,580
+7
20 Aug 2026, 13:02
24,573
+6
19 Aug 2026, 09:57
24,567
+5
18 Aug 2026, 09:33
24,562
+4
17 Aug 2026, 12:13
24,558
+32
16 Aug 2026, 03:03
24,526
+24
14 Aug 2026, 11:47
24,502
+7
13 Aug 2026, 05:47
24,495
-1
12 Aug 2026, 09:14
24,496
+2
11 Aug 2026, 09:36
24,494
+2
10 Aug 2026, 06:14
24,492
+9
9 Aug 2026, 03:53
24,483
+5
8 Aug 2026, 02:02
24,478
+4
7 Aug 2026, 02:24
24,474
+3
6 Aug 2026, 02:03
24,471
first reading
Engagement
255 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 47 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
4.04%
avg views ÷ 24,654 subscribers
Avg views / post
995
255 posts measured
Reaction rate
—
this channel exposes no reaction counts
Posts in window
255
of 255 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 27 August 2026
Posts held
255 (3 August 2026 – 27 August 2026)
Views total
253,755
Reactions total
—
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Aug 2026, 21:50 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
≈8,290
Videos
≈326
Links
≈5,580
Lifetime counters from Telegram’s own channel header, read 27 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
1h 39m
Average length
33m 06s
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Piemontese, Angelo Michele. La Persia istoriata in Roma. Città del Vaticano: Biblioteca Apostolica Vaticana, 2014.
در صورت لزوم میتوان در پایان ارجاع افزود:
نسخه الکترونیکی در پایگاه Torrossa.
نشانی پایگاه: www.torrossa.com
https://t.me/UT_Central_Library
معرفی کتابخانۀ دیجیتال Torrossa
Torrossa
یک کتابخانۀ دیجیتال و فروشگاه تخصصی منابع دانشگاهی است که امکان جستوجو و دسترسی به کتابهای الکترونیکی، مقالات علمی، نشریات و مجموعههای پژوهشی ناشران معتبر را فراهم میکند. این پایگاه را مؤسسۀ ایتالیایی Casalini Libri راهاندازی کرده است؛ مؤسسهای که از سال ۱۹۵۸ در زمینۀ تأمین منابع علمی برای کتابخانهها و مراکز پژوهشی فعالیت دارد. نسخۀ یکپارچۀ پایگاه Torrossa از سال ۲۰۱۱ …
معرفی وبسایت DOKUMEN.PUB
وبسایت DOKUMEN.PUB پایگاهی برای جستوجو و دسترسی به نسخههای دیجیتال کتابها و اسناد در موضوعات و زبانهای گوناگون است. این پایگاه مجموعه بزرگی از کتابهای علمی، دانشگاهی، تاریخی و مرجع را دربر دارد و برای بسیاری از آثار، افزون بر مشخصات کتابشناختی، متن استخراجشده از فایل را نیز نمایش میدهد. ازاینرو، مطالب کتابها گاه از طریق موتورهای جستوجو نیز قابل بازیابی است.
برای جستوجوی بهتر، می…
🔰بررسی جایگاه ادبیات در آثار استاد محمود فرشچیان؛
بوم فرشچیان، جایی میان شعر و خیال(ibna.ir/x6JpZ)
🔸️محمود فرشچیان، نقاش و نگارگر ایرانی است که در سال ۱۳۰۸ در اصفهان چشم به عرصه جهان گشود. او در دوران حیات خود همواره با ادبیات گره خورده بود.
مجوعه آثار خود از اشعار آنها استفاده میکرد و الهام میگرفت.
🔸فرشچیان ضمن توجه ملموسی که در آثارش به ادبیات ایرانی داشت، خطاب به نسل جوان گفته بود: «توصیه من به جوانان این اس…
🎓 هوش مصنوعی برای دانشجوی دکتری؛ دستیار پژوهشگر یا تهدیدی برای مهارتهای علمی؟
مجله Nature در مقالهای تحلیلی، تأثیر گسترش ابزارهای هوش مصنوعی بر تجربه و مهارتهای دانشجویان دکتری را بررسی کرده است.
دانشجویان از AI برای جستوجوی منابع، خلاصهسازی مقالات، کدنویسی، طراحی ارائه و حتی نگارش علمی استفاده میکنند و بسیاری معتقدند این ابزارها سرعت و بهرهوری پژوهش را افزایش دادهاند.
در نظرسنجی Nature از نزدیک به ۳۸۰۰ دانش…
📚 #معرفی_کتاب #تازههای_نشر
🔺شهروند جهان: جهانمیهنیِ فارابی
🔺Citizen of the World: Al-Fārābī’s Cosmopolitanism
👈🏻 نویسنده: Josh Hayes
👈🏻 ناشر: Edinburgh University Press
👈🏻 سال انتشار : (2026)
👈🏻شابک: 9781399530552
معرفی ناشر
هنگامی که از دیوژن، فیلسوف کلبیمسلک یونان باستان، پرسیدند که اهل کجاست، به سادگی پاسخ داد: kosmopolitēs (کاسموپولیتس) ــ «من شهروند جهانم». پارادایم اخلاقی و سیاسی «جهانمیهنی» غالب…
🔰تحلیلی بر رمان تنهایی پرهیاهو؛
قاتلی که کتابها را میبلعید(ibna.ir/x6JFb)
🔸رمان «تنهایی پرهیاهو»آزمایشگاهی برای دریدن زبان و واکاوی تضاد میان حافظه و نابودی است. در این تحلیل، به سراغ دنیای هانتیا میرویم؛ مردی که در میانهی کاغذ،نقش یک «قاتلِ کتاب» و «آخرین کشیشِ واژگان» معلق است تا در نهایت، خود به بخشی از آن بافهی خاموش تبدیل شود.
🔸اگر رمان را با دقت بررسی کنیم، دستگاه پرس کاغذ بهظاهر قلب رمان است و چند لایه…
محمد تقی فقیه عاملی
نگارنده در این مقاله با بررسی مجلدات اول تا ششم فهرست نسخههای خطی دانشگاه پرینستون آمریکا، ۲۶۷ عنوان کتاب شیعی را از آن استخراج و فهرست کرده است. تصحیحات خطاهای متن فهرست یاد شده و توضیحات گسترده كتابشناختی در پانویسها، به تکمیل بحث و شناساندن مؤلفات و شارحان و كاتبات کمک کرده و گاه به جهات و جوانب نفاست نسخه تذکر میدهد.
این مقاله در دو بخش در مجله کتاب شیعه (ش ۱۱-۱۲، ص ۴۱۸-۴۳۵ و ش ۱۳-۱۴، ص ۴۹…
: The Zoroastrian World (جهان زرتشتی)
مجموعه: Routledge Worlds Series
ویراستاران: جنی رز (Jenny Rose)، آلبرت د ژونگ (Albert de Jong) و سارا استوارت (Sarah Stewart)
ناشر: انتشارات روتلج (Routledge)، از زیرمجموعههای گروه Taylor & Francis
تاریخ نخستین انتشار: سال ۲۰۲۶ میلادی
تلاقی رویکردهای علمی و صداهای درونی یک آیین باستانی
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نگاهی به کتاب «بازنمایی مفهوم زمان در تاریخنگاری صدر اسلام»؛
تاریخ؛ تلاقیگاه گذشته و آینده
تمرکز این پژوهش بر آن است که نشان دهد چگونه عناصر گفتمانی، فرهنگی، دینی و ادبی، در تعامل با هم، چهارچوبی زمانی را در ذهن مسلمانان صدراسلام شکل دادند، چهارچوبی که به نوبه خود زمینه لازم برای روایت تاریخی و نگارش آثار تاریخنگارانه را فراهم ساخت. در واقع، متون تاریخی نقطه تلاقی نگاه به گذشته و انتظار از آیندهاند، جایی که خاطر…
📕 [گزیدهای از کتاب] یادگاران وحدت اسلامی
🖊 کامیار صداقت ثمر حسینی
🕋 در دهههای میانی قرن چهاردهم هجری، آیتالله العظمی بروجردی، با درک عمیق از خطرات استعمار و تفرقهافکنی دشمنان اسلام، پشتیبان اصلی دارالتقریب در قاهره شد و در کنار شیخ محمود شلتوت، گامهای بلندی برای نزدیکی شیعه و اهل سنت برداشت. ایشان با ارسال متون فقهی شیعه، سفارش به مطالعهٔ منابع اهل سنت، توصیه به حجاج برای رعایت شعائر مشترک، و تأکید بر فقه تطبیق…
Signed Ras
Showing the 12 most recent of 255 posts we hold for @UT_Central_Library. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Posts edited after publishing
@UT_Central_Library edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
21 August 2026
Most recent edit
25 August 2026
Citation-graph rank
Citation-graph rank — 5,276 of 1,622,129entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 36 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@UT_Central_Library named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@nlai_ir named in 3 posts, 9 August 2026 – 20 August 2026
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
نوای گلها @navayegollha · 52,078 Telegram ranks this channel #84 of 84 here — alongside 83 others — read 24 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 27 August 2026 — this
entry's latest reading, not the date you are reading this.
“کتابخانه مرکزی دانشگاه تهران” (@UT_Central_Library), 24,654 subscribers as measured 27 August 2026. Telegram Register, tgregister.com/channel/UT_Central_Library.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.