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Paper Citation Record · LEDGER

Rejoining fragmented ancient bamboo slips with physics-driven deep learning

As of 23 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2505.08601.

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

pith.paper-citation-record.v1
2505.08601 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:56:05.593594Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

75 of 75 outbound references displayed

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  • verified fuzzy38
  • unresolved37
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99a2ea8e-6206-4761-9080-171e1bfdf29d · outbound

This paper cites Buried ideas: Legends of abdication and ideal government in early Chinese bamboo-slip manuscripts (State University of New York Press, 2015).

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Buried ideas: Legends of abdication and ideal government in early Chinese bamboo-slip manuscripts (State University of New York Press, 2015)

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 984d355f-ab69-4683-a327-99b048361be9 · outbound

This paper cites Approaching the Tsinghua Bamboo Slips (Taylor & Francis, 2024).

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Approaching the Tsinghua Bamboo Slips (Taylor & Francis, 2024)

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation aa0aaf56-9f5e-4f2a-918c-7544ada7a4bd · outbound

This paper cites From Bamboo Slips to Received Versions: Common Features in the Transformation of the” Laozi”.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning From Bamboo Slips to Received Versions: Common Features in the Transformation of the” Laozi”

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation eb3521f1-a516-4897-85ee-edaf51eb7b2c · outbound

This paper cites Formulaic structure of Chu divinatory bamboo slips.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Formulaic structure of Chu divinatory bamboo slips

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.620647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5bc99931-6be9-4132-b631-84a7c29bdf6a · outbound

This paper cites A brief explanation of the Chu bamboo slips Hengxian.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning A brief explanation of the Chu bamboo slips Hengxian

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 886657f4-1bf5-4a0c-baa1-221f4ec633cd · outbound

This paper cites Archaeological theory: an introduction (John Wiley & Sons, 2019).

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Archaeological theory: an introduction (John Wiley & Sons, 2019)

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 53a9cb8d-e7eb-4ca3-814a-8ed9962ef880 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e0d94c6a-487f-4459-b988-88d876805e57 · outbound

This paper cites Y., Lee, K.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Y., Lee, K

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dddb94b3-2e31-4af6-8c58-464b33813df4 · outbound

This paper cites & Hinton, G.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Hinton, G

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4da26cf5-198d-482d-b63a-5014848598a1 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5658931d-b604-486f-b6c0-1a68d7396ab2 · outbound

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Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 13

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Unavailable: canonical work link unavailable.

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Observation 487cb0bc-3db5-467e-aa8e-e5516d4d53c4 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 727ca495-4953-443d-a9c1-94d71a1cf1f4 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b5bdae5c-599e-45ef-8ede-764540972586 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation be654347-46cb-4357-b681-7eeae344f167 · outbound

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Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ab6dd6c8-ccf6-450e-9506-ad6e862ee2d6 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b2fe7425-c4c6-404e-988e-dc8aa0b2451e · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d7f8cb3f-3dad-4df3-911a-002bd080af70 · outbound

This paper cites & Yamazaki, K.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Yamazaki, K

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 888b5469-9141-45ab-b9a4-7a82747c8cb3 · outbound

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Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9b4cb229-cbae-44be-87e4-891000829134 · outbound

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Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e7e545fd-eb5c-443d-9fc1-dd9f8e673cfc · outbound

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Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 24e3a1ad-f9a6-4e0e-a5f3-e254651c3832 · outbound

This paper cites & Pane, C.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Pane, C

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 03cbd1cb-f67a-4ffb-bdbb-18037fbc4b51 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9e9de3ff-060e-47f5-a27e-2aefad35fe11 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a1033961-f47e-4178-a200-166a655b96a4 · outbound

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Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 879b5c3b-e339-47a5-9aa6-ad23960b3601 · outbound

This paper cites & Wang, X.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Wang, X

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 56585baa-721f-4c98-b737-f77ffa73af85 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d461e728-3656-4de6-96bd-0931339548ff · outbound

This paper cites & Mikolajczyk, K.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Mikolajczyk, K

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a7294b51-212f-41ac-9b20-58323feb6a75 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 41

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b3106358-b92d-4b27-9d0c-7445986bfd23 · outbound

This paper cites & Basri, R.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Basri, R

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 05cfbb16-9f4e-4d0e-92f5-6193ddd216ec · outbound

This paper cites & Shimizu, H.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Shimizu, H

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f331ef36-dc1e-4b61-9ea2-d18885685995 · outbound

This paper cites & Latella, B.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Latella, B

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.055301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3acc9ac5-643b-489d-b80b-0479c9bc3181 · outbound

This paper cites Reconstruction of Early Chinese Bamboo and Wood Manuscripts: A Review (1900–2010).

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Reconstruction of Early Chinese Bamboo and Wood Manuscripts: A Review (1900–2010)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.042026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f251cd2c-4a2f-4693-8e68-7aaf199f4e49 · outbound

This paper cites Damage of bamboo and wooden materials based on linear elastic fracture mechanics in garden design.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Damage of bamboo and wooden materials based on linear elastic fracture mechanics in garden design

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.028563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 18877d34-445e-4352-97e9-2dd2fb0870d4 · outbound

This paper cites P., Kim, J.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning P., Kim, J

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.014633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 23835418-dd66-42b9-ac56-9a572ff3ef32 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:06.577244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9bbc9f53-7b7e-4252-a31d-6964fd9768ca · outbound

This paper cites & Geng, G.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Geng, G

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.000720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.426180Z digest=sha256:509e5268867930a107f36eac232e65ddf7a54cae497ce58e468197c9388eddbe

Observation e1e8248a-19eb-411f-8c73-65487bd97251 · outbound

This paper cites R., Maringanti, H.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning R., Maringanti, H

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.986221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.430647Z digest=sha256:02af6bd4bd5e632adaa19e372c73abf495de965f06e56c3a396a26d402279347

Observation d4b0064f-fa8b-42f5-9fa9-32812db74656 · outbound

This paper cites Artificial Intelligence In The Protection Of Intangible Cultural Heritage.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Artificial Intelligence In The Protection Of Intangible Cultural Heritage

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.971940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.435061Z digest=sha256:efe5473435bb5b628db1565f195ad818f6c3cd066212d7c7b81ebb19d272f9d8

Observation 73537fd1-48e1-42a6-b8c0-24cae1ce9143 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:05.957888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.439559Z digest=sha256:59dcec29f13dfbdebd990e8d1747f5874fcba53de701c55ca75c8903382bb64a

Observation 86cd24f8-26ba-4c59-99a0-75fa12308135 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:06.527476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.443752Z digest=sha256:92fc15a0f17e8c9e315df77332c3711144b61dfe27f3ac4d7fdff6a0ef3bb629

Observation 20a00956-077a-4ee4-94e0-77a276e082e2 · outbound

This paper cites & Weng, Y.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Weng, Y

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.385959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.447938Z digest=sha256:497e4f93b5b975bfd218703e52055241fde6be211fa05811f312e455761ef9a5

Observation 5d4c5eec-a3e2-4a88-a6e8-ff7299c28a3d · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:05.942976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.452631Z digest=sha256:c8f61068b3e51c41937e636d30295515a0e612e994b787f91e73f2975cc64094

Observation 670c8a6a-6ab6-4adc-9895-1bd4ce72a9a8 · outbound

This paper cites Oracle Bone Inscriptions Multi-modal Dataset.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Oracle Bone Inscriptions Multi-modal Dataset

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T21:56:05.457197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:56:05.457197Z digest=sha256:79857745b1faf6880b70ebfba1eaf003334cce27eeae1421f9725ee2344bc25a

Observation 7765fbe9-0678-4d6f-b6db-894dc0d520e7 · outbound

This paper cites Bindings of Ancient Chinese Bamboo and Wood Scrolls.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Bindings of Ancient Chinese Bamboo and Wood Scrolls

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.929499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.461899Z digest=sha256:7d60bcdea0cedf5cdc2f07f26f7c1e3d255594f575c1f8fdec6edf9521e97057

Observation a66c9090-c1c5-49d8-8fb6-768a91f2f00a · outbound

This paper cites Written on Bamboo and Silk: The Beginning of Chinese Books and Inscriptions 1964.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Written on Bamboo and Silk: The Beginning of Chinese Books and Inscriptions 1964

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.914949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.466568Z digest=sha256:ebf1fed21dd5d403c8425dfdb9d86ae397a5e88857144cd9821b96c2e62d1cc3

Observation 1d203e5b-c598-4186-929f-1fbc1ca757ec · outbound

This paper cites Science and Civilisation in China: Volume 5, Chemistry and Chemical Technology, Part 5, Spagyrical Discovery and Invention: Physiological Alchemy (Cambridge University Press, 1983).

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Science and Civilisation in China: Volume 5, Chemistry and Chemical Technology, Part 5, Spagyrical Discovery and Invention: Physiological Alchemy (Cambridge University Press, 1983)

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.901384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.470633Z digest=sha256:379412eeccdaca01af22a5458094e2dd67ce07294350998e78cd4bfc534da1ae

Observation b63ffd41-2b92-41c5-9c31-99024a369c52 · outbound

This paper cites & Wang, G.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Wang, G

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.886808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.474923Z digest=sha256:a421a5bfccc297e2e4aeedd5daddd912d2cc2814b610a01ccb8038bce5198723

Observation 6bcc874b-3845-4dd1-8927-09c5c1076a4a · outbound

This paper cites & Hutson, J.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Hutson, J

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.873191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.479262Z digest=sha256:40ee5ca746fdb97d802970b03371c6880d5eaad1731a8493f542bde5d00c5f09

Observation 9df792bb-f901-4089-a437-b987587164db · outbound

This paper cites S., Heider, Y.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning S., Heider, Y

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.860016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.483564Z digest=sha256:0755d68d36d1d93da2ee18f10877ffddc253b7c41b537ff8f00faac41b6321d3

Observation a3343130-3a16-40da-8297-9b2279876c2e · outbound

This paper cites Introduction to computational materials science: fundamentals to applications (Cambridge University Press, 2013).

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Introduction to computational materials science: fundamentals to applications (Cambridge University Press, 2013)

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.845054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.487997Z digest=sha256:ad9e0a8d3736ffe2b5ee4a6a173946753ea05968a52f0e1f3b03584929446882

Observation fd14f15d-c198-4d70-923d-72586e1e2963 · outbound

This paper cites Investigation of the transverse fracture mechanisms of bamboo by the finite element method.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Investigation of the transverse fracture mechanisms of bamboo by the finite element method

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.218272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.493129Z digest=sha256:0af0b9c68f3b71257e92b5a1662cb6a53536472d163c5711f5a1c7b8a68448e8

Observation e0b29fc2-d795-4fd3-9627-4f5fb90916f0 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:06.262529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.497419Z digest=sha256:21c29ea295b8769ced5cc9e79a7ccd4f892179e8b68d4f0c440ec17b8f8cd60b

Observation f695081a-0739-4e81-927b-6e6789637971 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:06.232292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.501737Z digest=sha256:cb54b8d03110ec3dcbf307b28c92f4e88dbbc859fc42a11282c58d8d342710b9

Observation febe5c26-1c15-40b3-846f-ae2994e2bbab · outbound

This paper cites & Sakuma, A.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Sakuma, A

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.246110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.505773Z digest=sha256:c424782ef4444baa8f8e1ae34de7e0366a1250ee9f008675be12231c128e5057

Observation 081cb4c5-ab49-4361-a942-6e3af1ebf554 · outbound

This paper cites & Fei, B.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Fei, B

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.831284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.509843Z digest=sha256:d362e8e801e12aeef10f60c4d95a4dd4acfbf8dd5debb203001dcf66b0c05855

Observation 12647b1a-e661-4ce8-a4d6-0bed7d826ff0 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:05.818099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.515059Z digest=sha256:5faf4e1bc8626b4789883a01c5dd8a4ab0b6bf45eb7474fb71bfd897f97ac6cd

Observation 8cfb34d4-7a36-4360-a605-f99b3b9405c2 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:05.803207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.519367Z digest=sha256:9215338f691de20a9ed398e0ffef6884276e7f01dbac09ee013f1d77a4f33f7c

Observation e1db1fb9-e3d9-4b36-8ca1-1cc4ee68bd55 · outbound

This paper cites A., Haight, J.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning A., Haight, J

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.202169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.523735Z digest=sha256:f2dae54cb4c7a865dbae3410a6ac978c77c1128f9c0a054dbf7dc1013a03f4fa

Observation a8fcb25c-ac61-4d03-b1bd-da2ba3c19a42 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:05.788839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.527796Z digest=sha256:aad63571c740db7dbdf469dd774b1dc1ccefef2429d284c0dc8bd1dba29e2eb3

Observation ef171de2-44d7-4981-9973-c12ce4b7bd1e · outbound

This paper cites & Hinton, G.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Hinton, G

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T21:56:05.532145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:56:05.532145Z digest=sha256:d0635f1f9d38f307278838b056a1e202db2c4e654caf28b80a4c2e85253365e3

Observation 724b2bf5-4156-4d99-9e51-1991fbcd1625 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:05.774170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.536568Z digest=sha256:900bb70b495c1272effa46eafe11efd32a953ec54f0ac573538127fc9c926872

Observation 986f66fc-a42f-4352-a969-03afb0cd9dc1 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:06.327420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.541621Z digest=sha256:0d81f42e0084b0397cf0ff15bd763c01835a08d06646bc33ce8d5302b904ae3e

Observation 423b5e29-6fc5-47dc-8860-a3f730222ec4 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:05.758740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.546559Z digest=sha256:e6d8af20242befdb1e0b301aaa407b112df666d3acaa4c3a36b44e7509e9a1ab

Observation 1ea39ea8-95f1-4d08-a2ed-384226fcc39a · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:05.743497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.550606Z digest=sha256:b5ef6c9718292b922fec26397bb91f8beec9d109ca4fd1d6346c4668a0c9061e

Observation fcbd3dcb-10ed-4f86-94ec-9562a1043ab8 · outbound

This paper cites & O’Hagan, A.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & O’Hagan, A

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.728346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.554949Z digest=sha256:b67afa5cd93ec16e8704118be52ebf68526c2ff1f194fb60a755682b9cf84ff7

Observation cae5b6a9-b73b-475b-8071-10768e0b9725 · outbound

This paper cites Detecting and quantifying ongoing decay of organic archaeological remains: A dis- cussion of different approaches.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Detecting and quantifying ongoing decay of organic archaeological remains: A dis- cussion of different approaches

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.710784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.559209Z digest=sha256:064f772f280eab9a621a53e2e1118f930f7ea1e36765900daa7a1fcd5979da3f

Observation 3b825706-a82c-43d2-8b5c-265bb589049a · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:05.694123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.563607Z digest=sha256:43f29b6d83e5dc83fb406c1e0090a1a21c61c09e1fb90534404c2cfda7db1ba5

Observation 28a7efea-a458-45e3-a52b-d9326f63bc3f · outbound

This paper cites & Ailon, N.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Ailon, N

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.166225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.567725Z digest=sha256:13dbdb3f2318991c0e83009aa509c13aff21a66db2a3e665496386e9ed851faa

Observation 6e1088f4-36a8-499d-9159-20b688afdbac · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:06.139166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.571967Z digest=sha256:203369e5ede93e560591e20ba1320df53b422ffb9e95854876f5408b21a8133d

Observation 4dc88b63-609d-480f-9ce1-9108786116a3 · outbound

This paper cites & Guardiani, E.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Guardiani, E

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.678837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.576583Z digest=sha256:40c36909c6608a1ba3493563426d14c7105a397a6ce21b2849e1683e3526790f

Observation 91d8f0bc-ba53-4deb-a95e-1c97fba0b3bd · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:05.662720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.580815Z digest=sha256:690642e0a503b7e6cb805fe4263133f061d76f82678fbf77bb51bf3d5067c508

Observation b9e23248-093d-4fe8-9538-ca08a8ac8994 · outbound

This paper cites an unresolved cited work.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:56:06.111455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.585252Z digest=sha256:58ffeb167b9d267e295e9727d9546814ec9947d045787d772ee96b706d7a3f90

Observation 7851dffe-5a29-41d4-b4c6-b41d9ad4e3e3 · outbound

This paper cites J., Shakiban, C., Tannenbaum, A.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning J., Shakiban, C., Tannenbaum, A

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:06.083595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.589489Z digest=sha256:6392fab769c82d9c68cf660ad70a73d9195a5169b0700c8c14bff6d68f9a1f23

Observation 5cf31ba0-aa23-4dd3-a5dc-8d77ff7ca94b · outbound

This paper cites & Basri, R.

Rejoining fragmented ancient bamboo slips with physics-driven deep learning & Basri, R

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:56:05.647344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T21:56:05.593594Z digest=sha256:42bac68e91a699de0c6bec5333dec12868c0479bcc5baead7cd30ba5b071ecbc

Pith citing papers

No inbound Pith citation observations are available.