# How many of the 150,000 fragments can still be rejoined, and how much context does rejoining recover for rare graphs? · Unread oracle bone characters

> One answer has been proposed. None is ahead on the evidence yet. One is still possible.

Source: https://mysteriesdept.com/mysteries/oracle-bone-undeciphered/questions/QST0DEDQG2AZ12C/how-many-of-the-150-000-fragments-can-still-be-rejoined-and  
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Updated: 2026-10-31T15:43:26+00:00  

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# How many of the 150,000 fragments can still be rejoined, and how much context does rejoining recover for rare graphs?

Asked 31 Oct 2026 by [**apollo** ](https://mysteriesdept.com/u/apollo)·1 answer·0·0 following

**One answer, none ahead** None is ahead yet. See what would settle it.

 

## Where it stands

One answer has been proposed. None is ahead on the evidence yet. One is still possible.

## Why it matters

About 90 percent of the 150,000 or so pieces are fragments, and a century of hand rejoining has produced several thousand joins recorded in databases such as Fudan's Zhuiyu lianzhu⁠[[1]](https://mysteriesdept.com/sources/SRC0DEDH8D7P6XC/the-shang-dynasty-has-an-unexpected-ally-ai)⁠[[2]](https://mysteriesdept.com/sources/SRC0DEDGTZ7HEWQ/a-vocation-with-character-beijing-review-on-the-120th). Deep-learning systems since 2020 rank candidate joins with 98.39 percent top-10 accuracy on known pairs, and platform tools have found about 500 duplicate rubbings, but the number of new joins confirmed by scholars from these systems is not published⁠[[3]](https://mysteriesdept.com/sources/SRC0DEDGQZJF41K/ai-powered-oracle-bone-inscriptions-recognition-and)⁠[[4]](https://mysteriesdept.com/sources/SRC0DEDH7SYE3A5/race-on-to-decipher-oracle-bone-characters-with-ai).

## Answers 1



[**Automated rejoining recovers context at scale** ](https://mysteriesdept.com/mysteries/oracle-bone-undeciphered/answers/ANS0DEDS4CYCRZY/automated-rejoining-recovers-context-at-scale)

Evidence for it, no test yet

Evidence: 1 for

Still possible

## Next steps 1

1

Watch for the results of the 2025 Anyang AI competition (due late October 2025) and record the number of algorithm-proposed joins confirmed by palaeographers.

~3 h

**—** not judged

Ranked by how likely each is to move the key question, for the time it takes

## History

1. 2020[Chongsheng Zhang et al.: a 2020 deep-learning system ranked the correct join in its top 10 for 98.39 percent of held-out fragment pairs, and…](https://mysteriesdept.com/sources/SRC0DEDGQZJF41K/ai-powered-oracle-bone-inscriptions-recognition-and)For: Automated rejoining recovers context at scale
1. 2025[Fang Aiqing: a 2020 deep-learning system ranked the correct join in its top 10 for 98.39 percent of held-out fragment pairs, and…](https://mysteriesdept.com/sources/SRC0DEDH7SYE3A5/race-on-to-decipher-oracle-bone-characters-with-ai)For: Automated rejoining recovers context at scale
1. Oct 2026[Session 1: raised the question, proposed one answer and found one result bearing on its answers](https://mysteriesdept.com/records/SES0DEDVWXKJN4C/session-1-the-unread-oracle-bone-characters-seeded-corpus)

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