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Channel

🔰 Ǥαтαʏα Ѳғғιcιαℓ Ʋρ∂αтɛƨ 🔰

@Gatayaofficialchannel

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

8,525subscribers

-534 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001316948350
TypeChannel
Username@Gatayaofficialchannel
Description⭐ අපගේ හැම චැනල් එකකම ගෲප් එකකම සියලුම Updates ඔයාලට මේකෙන් ලබා ගන්න පුලුවන් වේවී😊👍 ⭐ ඕනෑම Films & Tv Series ලබාගැනීමට Join වෙන්න.. Join Here To Download Any Movies 👇 @Gataya_Official Submit your problem - @Contact_Gataya_Official_bot
CreatedBetween 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/Gatayaofficialchannel

Topic

Film & TV — 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 96% 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 the other topics.

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 (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@Gatayaofficialchannel/2553 · this entry23 Jun 2026, 11:02 UTC@Comics_World_GO/2315623 Jun 2026, 11:02 UTC1.00under a minute
@Gatayaofficialchannel/2557 · this entry27 Jun 2026, 10:39 UTC@Comics_World_GO/2316027 Jun 2026, 10:40 UTC1.00under a minute
@Gatayaofficialchannel/2560 · this entry4 Jul 2026, 02:29 UTC@Comics_World_GO/231634 Jul 2026, 02:29 UTC1.00under a minute
@Gatayaofficialchannel/2562 · this entry8 Jul 2026, 14:56 UTC@Comics_World_GO/231658 Jul 2026, 14:56 UTC1.00under a minute
@Gatayaofficialchannel/2563 · this entry10 Jul 2026, 11:32 UTC@Comics_World_GO/2316610 Jul 2026, 11:32 UTC1.00under a minute
@Gatayaofficialchannel/2565 · this entry13 Jul 2026, 11:17 UTC@Comics_World_GO/2316813 Jul 2026, 11:21 UTC1.004 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@Comics_World_GO20 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (20–0)

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 0 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 20 comparable posts for this entry, running 23 June 2026 to 6 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 @Gatayaofficialchannel — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, 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.

Growth

8,5259,0618,7936 August 2026 — 9,059 subscribers6 August 2026 — 9,061 subscribers10 August 2026 — 9,050 subscribers13 August 2026 — 9,027 subscribers16 August 2026 — 8,997 subscribers19 August 2026 — 8,962 subscribers22 August 2026 — 8,940 subscribers25 August 2026 — 8,916 subscribers28 August 2026 — 8,899 subscribers31 August 2026 — 8,884 subscribers3 September 2026 — 8,867 subscribers8 September 2026 — 8,829 subscribers12 September 2026 — 8,796 subscribers15 September 2026 — 8,782 subscribers25 September 2026 — 8,735 subscribers4 October 2026 — 8,669 subscribers10 October 2026 — 8,650 subscribers14 October 2026 — 8,617 subscribers17 October 2026 — 8,609 subscribers21 October 2026 — 8,596 subscribers24 October 2026 — 8,574 subscribers27 October 2026 — 8,557 subscribers29 October 2026 — 8,539 subscribers1 November 2026 — 8,537 subscribers4 November 2026 — 8,525 subscribers6 August 20264 November 2026
25 measurements spanning 90 days, net -534. 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 8,445–9,141 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
4 Nov 2026, 20:218,525-12
1 Nov 2026, 23:578,537-2
29 Oct 2026, 20:068,539-18
27 Oct 2026, 04:008,557-17
24 Oct 2026, 10:108,574-22
21 Oct 2026, 01:478,596-13
17 Oct 2026, 14:058,609-8
14 Oct 2026, 15:078,617-33
10 Oct 2026, 20:188,650-19
4 Oct 2026, 18:168,669-66
25 Sept 2026, 04:188,735-47
15 Sept 2026, 16:198,782-14
12 Sept 2026, 09:378,796-33
8 Sept 2026, 12:168,829-38
3 Sept 2026, 08:398,867-17
31 Aug 2026, 00:258,884-15
28 Aug 2026, 02:048,899-17
25 Aug 2026, 11:438,916-24
22 Aug 2026, 15:578,940-22
19 Aug 2026, 13:228,962first reading

Engagement

55 posts held, back to 23 June 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 36 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.63%
avg views ÷ 8,525 subscribers
Avg views / post
310
13 posts measured
Reaction rate
0.373%
reactions ÷ views · ER floor
Posts in window
13
of 55 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
WindowRolling 30 days · latest post in window 1 November 2026
Posts held55 (23 June 2026 – 1 November 2026)
Views total4,025
Reactions total15
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 10:23 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
390
Links
419

Lifetime counters from Telegram’s own channel header, read 5 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

28 reactions across 24 posts, in 4 distinct kinds. The most used accounts for 50.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1450.0%
👍1242.9%
👏13.57%
🔥13.57%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 24 of the 55 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 28 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 55 most recent posts we hold, published 23 June 2026 to 1 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 13 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

1 Nov 2026, 11:36 UTC212 views1 reactionsread 5 November 2026
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ඇවටර් ඉතිහාසය අලුතෙන් ලියවෙයිද? | Avatar Seven Havens ENDING Sinhala Review 🔹 Avatar: Seven Havens Episode 10 – Ghosts and Spirits 🔹 Episode 11 – Battle of the Ruins 🔹 Episode 12 – The Dome 🔹 Episode 13 – The Root Chakra 🔹 Pavi සහ Nishaගේ අතීතය සහ ඔවුන්ගේ දෙමාපියන්ට සිදු වූ දේ 🔹 Anomaly එකේ සැබෑ මූලය සහ Nishaගේ බිය 🔹 Paviගේ Root Chakra එක විවෘත වීම 🔹 Korra, Cataclysm සහ පැරණි Avatar ඉතිහාසය 🔹 Pavi සහ Nisha …

👍1

29 Oct 2026, 12:33 UTC271 views1 reactionsread 5 November 2026
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Ultron නිර්මාණය කළ Jocastaගේ අඳුරු ඉතිහාසය! | Jocasta Sinhala Review 🔹 Jocastaගේ Origin Story එක 🔹 Janet van Dyne (Wasp) ගේ brain patterns ඇගේ නිර්මාණයට සම්බන්ධ වුණේ කොහොමද? 🔹 Jocasta සහ Avengers අතර සම්බන්ධය 🔹 Jocastaගේ පළමු විනාශය සහ නැවත පැමිණීම 🔹 Iron Man සහ Tony Starkගේ technology සමඟ ඇගේ සම්බන්ධය 🔹 Machine Man සහ Jocastaගේ relationship එක 🔹 Hank Pym සහ Jocasta අතර ඇති අසාමාන්‍ය සම්බන්ධය 🔹 Ultron සමඟ Cy…

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28 Oct 2026, 12:57 UTC251 views2 reactionsread 5 November 2026
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Ultronගේ සම්පූර්ණ ඉතිහාසය 🔥 Hank Pymගේ නිර්මාණයේ සිට අද දක්වා | Ultron Sinhala Review • Ultronගේ පළමු පෙනී සිටීම සහ සැබෑ නිර්මාණකරු Hank Pym • Ultron-1 සිට Ultron-6 දක්වා ඔහුගේ පරිණාමය සහ Adamantium body එක • Vision නිර්මාණය කළ ආකාරය සහ ඔහු Ultronට එරෙහිව හැරුණු හේතුව • Jocasta සහ Alkhema — Ultronගේ යාන්ත්‍රික පවුල • Ultron Unlimited — Slorenia හි මහා විනාශය • Annihilation: Conquest — Ultronගේ විශ්වීය තර්ජනය …

❤1👍1

27 Oct 2026, 12:34 UTC241 views1 reactionsread 5 November 2026
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Visionගේ සම්පූර්ණ කතාව! Ultronගේ නිර්මාණයේ සිට අද දක්වා | VisionQuest Sinhala 🔸 Visionගේ Marvel Comics origin story එක 🔸 Ultron සහ Vision අතර ඇති සම්බන්ධය 🔸 Wonder Manගේ brain patterns Vision නිර්මාණයට සම්බන්ධ වුණු ආකාරය 🔸 Vision සහ Scarlet Witch (Wanda Maximoff) අතර සම්බන්ධය 🔸 Visionගේ පවුල සහ ඔහුට මුහුණ දෙන්න සිදු වූ ඛේදවාචක 🔸 White Vision සහ Visionගේ මතකයන් සම්බන්ධ කතාව 🔸 Visionගේ බලයන් සහ Avengers සමඟ ඇති…

👍1

24 Oct 2026, 06:08 UTC377 views1 reactionsread 5 November 2026
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කැප්ගෙයි සැම්ගෙයි අවුල? | Avengers Doomsday NEW Preview Reaction & Breakdown Sinhala review 🔹 මොකක්ද මේ අලුත්ම Teaser Look එක 🔹 Doctor Doomගේ අරමුණ ☝️ඇතුළු අලුත්ම Look ගැන හැමදේම පැහැදිලි කරගන්න 👇 ✅ https://youtu.be/Vk1W7V1NVqQ ☝️ මේ Review එක බලන්න 👊

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23 Oct 2026, 12:36 UTC354 views1 reactionsread 5 November 2026
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DC Universe එකේ ඉදිරිය වෙනස් වෙයිද? | DCU Future Explained Sinhala Review 🔹 DC Universe එකේ වර්තමාන තත්ත්වය සහ අනාගතය 🔹 James Gunnගේ DCU සහ එහි ඉදිරි ගමන 🔹 Superman සහ David Corenswet 🔹 DCU සහ Matt Reevesගේ Batman අතර වෙනස 🔹 Knightfall සහ Batmanගේ comic book history 🔹 Lanterns සහ John Stewart / Green Lantern 🔹 Clayface සහ DCගේ darker stories 🔹 Justice League නැවත එකතු වීමේ හැකියාව 🔹 DC Comics හි Absolute Un…

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21 Oct 2026, 12:44 UTC336 views1 reactionsread 5 November 2026
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Saitama vs Goku සිංහලෙන් 🔥 ඇත්තටම කවුද බලවත්ම? | One Punch Man vs Dragon Ball Sinhala Review • Saitamaගේ ශාරීරික ශක්තිය සහ Cosmic Garou සමඟ සටන • Serious Sneeze සහ Serious Punch Squared • Saitamaගේ Power Growth සහ Time Travel සිදුවීම • Gokuගේ Super Saiyan Blue සහ Ultra Instinct • Instant Transmission, Hakai සහ God Bind • Speed, Strength, Durability සහ Battle IQ සංසන්දනය • Canon Facts සහ Fan Power Scaling අතර …

❤1

20 Oct 2026, 12:34 UTC332 views1 reactionsread 5 November 2026
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කොහොමද Vision නිර්මාණය වුණේ? 🤯| The Complete History of Vision Family 🔹 Hank Pym සහ Ultronගේ උපත 🔹 Original Human Torch සහ Visionගේ නිර්මාණය 🔹 Wonder Man සහ Vision අතර ඇති සම්බන්ධය 🔹 Visionගේ බලයන් සහ Avengers සමඟ ඔහුගේ ගමන 🔹 Scarlet Witch (Wanda Maximoff) සහ Visionගේ ආදර කතාව 🔹 Vision සහ Wandaගේ විවාහය 🔹 Billy සහ Tommyගේ උපත සහ ඔවුන්ගේ අභිරහස 🔹 White Vision සහ Vision Quest කතාවට සම්බන්ධ Comic Book ඉතිහාසය …

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18 Oct 2026, 12:35 UTC317 views1 reactionsread 5 November 2026
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Seven Havens වල සිදුවෙන්නේ මොකක්ද? 😱 | Avatar Seven Havens EP 4, 5, 6 Sinhala Review 🔹 Episode 4 – The Faceless Explained 🔹 Episode 5 – The One Left Behind Explained 🔹 Episode 6 – Night of the Afflicted Explained 🔹 Pavi සහ Nishaගේ කතාවේ අලුත්ම සිදුවීම් 🔹 The Faceless සහ Uki වටා ඇති අභිරහස් 🔹 Karthik, Jae සහ අනෙකුත් චරිතවල කතාව 🔹 Harshlands සහ White Lotus Order 🔹 Red Energy Mystery සහ Afflicted 🔹 Twin Avatar…

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17 Oct 2026, 12:42 UTC329 views1 reactionsread 5 November 2026
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මේ ANIME එක නම් මඟහැරගන්න එපා! | Black Clover Sinhala Review ⚔🔹 Black Clover ලෝකය සහ Magic System එක 🔹 Asta සහ Yunoගේ කතාව සහ ඔවුන්ගේ හීනය 🔹 Black Bulls සහ Magic Knight Squads 🔹 Eye of the Midnight Sun සහ Elf History 🔹 Astaගේ Anti-Magic සහ ඔහුගේ හැකියාවන් 🔹 Devils, Liebe සහ Spade Kingdom Raid 🔹 Wizard King, Julius සහ ප්‍රධාන Characters 🔹 Anime එකේ Episode 170න් පස්සේ Manga කතාව ඉදිරියට යන විදිහ ගැන කෙටි හැඳි…

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14 Oct 2026, 12:38 UTC405 views1 reactionsread 5 November 2026
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Avatar Seven Havens ගැන ඔබ දැනගත යුතු සියල්ල! 😱 | Avatar Seven Havens Sinhala Review 🔹 Avatar: Seven Havens කියන්නේ මොකක්ද? 🔹 The Last Airbender සහ The Legend of Korra සමඟ ඇති සම්බන්ධය 🔹 Korraගෙන් පස්සේ Avatar Cycle එක 🔹 Cataclysm එක සහ Seven Havens ලෝකය 🔹 Episode 1,2,3 ගැන ඔයා නොදැකපු දේවල් 🔹 Pavi සහ Nisha අතර ඇති අභිරහස 🔹 Jae, Karthik සහ White Lotus Order 🔹 Red Element Mystery 🔹 Avatar Lore, Fan Theories …

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13 Oct 2026, 11:50 UTC184 views1 reactionsread 5 November 2026
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Godzilla Minus Zero බලන්න කලින් මේ දේවල් දැනගන්න | Godzilla Minus Zero trailer breakdown Sinhala 🔸 Godzilla Minus One Connection – කලින් චිත්‍රපටයේ කතාව සහ අවසානය. 🔸 1949 Timeline – දෙවැනි ලෝක යුද්ධයෙන් පසු ජපානයේ තත්ත්වය. 🔸 Main Characters – Koichi, Noriko සහ Akiko ගැන. 🔸 Minus One Ending – Norikoගේ අභිරහස් සලකුණ සහ Godzillaගේ පැවැත්ම. 🔸 Japan's Counterattack – Kenji Noda, Disaster Response Bureau සහ Godzillaව…

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Showing the 12 most recent of 55 posts we hold for @Gatayaofficialchannel. 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.

Forward network

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 2 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.

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.

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 4 November 2026 — this entry's latest reading, not the date you are reading this.

“🔰 Ǥαтαʏα Ѳғғιcιαℓ Ʋρ∂αтɛƨ 🔰” (@Gatayaofficialchannel), 8,525 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/Gatayaofficialchannel.

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.