Paper Citation Record · LEDGER

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2502.10453.

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

pith.paper-citation-record.v1
2502.10453 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:05:18.979207Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

45 of 45 outbound references displayed

verified exact6
verified fuzzy4
unresolved29
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 676bd4e4-7a51-43f1-b9af-f0a7b765c5e0 · outbound

This paper cites Future Generation Computer Sys- tems 102, 259–277 (Jan 2020).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Future Generation Computer Sys- tems 102, 259–277 (Jan 2020)

Reference 1

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Source-reported events for the cited work

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Observation d1300dc1-0777-4e9f-816c-47b2016c83c7 · outbound

This paper cites an unresolved cited work.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Unresolved cited work

Reference 2

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Observation 424ebf34-25db-4cde-a4c7-fd393f6f5ed5 · outbound

This paper cites an unresolved cited work.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Unresolved cited work

Reference 3

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Observation b1c1c7bc-b616-4d11-b822-4b9ff9d9484e · outbound

This paper cites IEEE Access7, 37575–37586 (2019).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach IEEE Access7, 37575–37586 (2019)

Reference 4

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Observation 2537d637-1c6f-43ac-93ee-a233ed7ba560 · outbound

This paper cites Do you still need a manual smart contract audit?.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Do you still need a manual smart contract audit?

Reference 5

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This paper cites https://de.fi/rekt-database (2024), https://de.fi/rekt-database.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach https://de.fi/rekt-database (2024), https://de.fi/rekt-database

Reference 6

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Observation 2d4942b8-27ad-457b-b6ca-2182985597f9 · outbound

This paper cites Proceedings of the VLDB Endowment 14(3), 307–319 (Nov 2020).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Proceedings of the VLDB Endowment 14(3), 307–319 (Nov 2020)

Reference 7

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Observation ce06b08f-bdae-4f27-9e15-ab0af0303f7a · outbound

This paper cites an unresolved cited work.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Unresolved cited work

Reference 8

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Source-reported events for the cited work

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Observation e6c41ac0-a834-4c32-8ae0-defcc3b3a0ef · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering19(1), 1–16 (Jan 2007).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach IEEE Transactions on Knowledge and Data Engineering19(1), 1–16 (Jan 2007)

Reference 9

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Observation dbffc359-e1ef-48d9-8526-b172206b0052 · outbound

This paper cites Forensic Science Inter- national: Digital Investigation33, 200902 (Jun 2020).https://doi.org/10.1016/ j.fsidi.2019.200902, http://dx.doi.org/10.1016/j.fsidi.2019.200902.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Forensic Science Inter- national: Digital Investigation33, 200902 (Jun 2020).https://doi.org/10.1016/ j.fsidi.2019.200902, http://dx.doi.org/10.1016/j.fsidi.2019.200902

Reference 10

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Observation 3e2f4666-614a-45cc-ab0e-65c3b425dc5a · outbound

This paper cites Blockchain Large Language Models.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Blockchain Large Language Models

Reference 11

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Observation 23266eca-729e-4534-8377-a780a8747637 · outbound

This paper cites LIPIcs, Volume 316, AFT 2024 316, 7:1–7:24 (2024).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach LIPIcs, Volume 316, AFT 2024 316, 7:1–7:24 (2024)

Reference 12

Resolution: verified exact; doi, observed 2026-08-08T11:05:19.071901Z

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Observation 3038441a-140f-4866-acba-a019dcddff8d · outbound

This paper cites In: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communi- cations Security.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communi- cations Security

Reference 13

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Observation c1fd94f9-894c-4d1a-b485-bd35d1ec46fc · outbound

This paper cites an unresolved cited work.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Unresolved cited work

Reference 14

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Observation 3fcfabd7-c549-4b43-9a0e-44ba2bcb045b · outbound

This paper cites In: Proceedings of the 51st Hawaii International Conference on Sys- tem Sciences 2018.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: Proceedings of the 51st Hawaii International Conference on Sys- tem Sciences 2018

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:05:20.962475Z

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Observation fa84aa31-cccb-4e83-a30a-abd7fbd67212 · outbound

This paper cites ACM Computing Surveys42(2), 1–37 (Feb 2010).https://doi.org/10.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach ACM Computing Surveys42(2), 1–37 (Feb 2010).https://doi.org/10

Reference 16

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Source-reported events for the cited work

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Observation e6c3015a-1e67-46d9-98d6-64be6e3faa31 · outbound

This paper cites ACM Computing Surveys54(4), 1–37 (Jul 2021).https: //doi.org/10.1145/3447772, http://dx.doi.org/10.1145/3447772.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach ACM Computing Surveys54(4), 1–37 (Jul 2021).https: //doi.org/10.1145/3447772, http://dx.doi.org/10.1145/3447772

Reference 17

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Observation 9c9a2fb4-050d-47b2-ba3e-c18ca04fd93c · outbound

This paper cites In: Proceedings of the ACM Web Conference.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: Proceedings of the ACM Web Conference

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c7acb6dc-e88f-40f2-8b7e-5c19793bd7c0 · outbound

This paper cites In: 2018 IEEE Symposium on Security and Privacy (SP).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: 2018 IEEE Symposium on Security and Privacy (SP)

Reference 19

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Unavailable: canonical work link unavailable.

Observation ff3e68fa-01f8-4b37-99dd-51d06884a425 · outbound

This paper cites an unresolved cited work.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Unresolved cited work

Reference 20

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Unavailable: canonical work link unavailable.

Observation 42b3d701-e165-4299-9357-7ca7b210ba48 · outbound

This paper cites In: Proceedings of the 29th Symposium on Operating Sys- temsPrinciples.SOSP’23,ACM(Oct2023).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: Proceedings of the 29th Symposium on Operating Sys- temsPrinciples.SOSP’23,ACM(Oct2023)

Reference 21

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Observation d9ba219d-4c59-47fb-9877-b84318fff273 · outbound

This paper cites In: Proceedings of the ACM Web Conference 2022.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: Proceedings of the ACM Web Conference 2022

Reference 22

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Observation 4108ff5c-61d6-45ba-b2d4-452a512a109c · outbound

This paper cites Proceedings of the VLDB Endowment 14(1), 50–60 (Sep 2020).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Proceedings of the VLDB Endowment 14(1), 50–60 (Sep 2020)

Reference 23

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Observation af6e2dfc-a510-4e13-87fb-323ad187793c · outbound

This paper cites In: Gibbons, P., Pekhimenko, G., Sa, C.D.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: Gibbons, P., Pekhimenko, G., Sa, C.D

Reference 24

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Observation 304afe1e-e78d-4804-b55e-7432b63f33a4 · outbound

This paper cites IEEE Transactions on Emerging Topics in Computing10(1), 438–449 (Jan 2022).https://doi.org/ 10.1109/tetc.2020.3027309, http://dx.doi.org/10.1109/TETC.2020.3027309.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach IEEE Transactions on Emerging Topics in Computing10(1), 438–449 (Jan 2022).https://doi.org/ 10.1109/tetc.2020.3027309, http://dx.doi.org/10.1109/TETC.2020.3027309

Reference 25

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This paper cites In: Proceedings of the 2013 conference on Internet measurement conference.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: Proceedings of the 2013 conference on Internet measurement conference

Reference 26

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Observation 4b716884-8f88-4699-b91f-3bbd9294f1eb · outbound

This paper cites In: Proceedings of the 2018 International Conference on Man- agement of Data.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: Proceedings of the 2018 International Conference on Man- agement of Data

Reference 27

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This paper cites https://doi.org/10.14778/3574245.3574258, http://dx.doi.org/10.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach https://doi.org/10.14778/3574245.3574258, http://dx.doi.org/10

Reference 28

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Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach ACM Computing Surveys 53(2), 1–42 (Mar 2020)

Reference 29

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This paper cites Journal of Cybersecurity5(1) (Jan 2019).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Journal of Cybersecurity5(1) (Jan 2019)

Reference 30

Resolution: verified exact; doi, observed 2026-08-08T11:05:19.036841Z

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Observation d82d45cb-1f56-40d0-a607-bc43e7f59672 · outbound

This paper cites In: Proceedings of the 1st ACM Conference on Advances in Financial Technologies.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: Proceedings of the 1st ACM Conference on Advances in Financial Technologies

Reference 31

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Observation af85ffee-e4fe-4801-b3ba-60c371d99a6e · outbound

This paper cites Proceedings of the VLDB Endowment16(6), 1507–1519 (Feb 2023).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Proceedings of the VLDB Endowment16(6), 1507–1519 (Feb 2023)

Reference 32

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Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Entity Matching using Large Language Models

Reference 33

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This paper cites In: Proceed- ings of the 5th International Conference on Web Intelligence, Mining and Seman- tics.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: Proceed- ings of the 5th International Conference on Web Intelligence, Mining and Seman- tics

Reference 34

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Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Unresolved cited work

Reference 35

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Observation f93d7714-f8db-4d05-969c-47c70e644e97 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineer- 24 R.

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach IEEE Transactions on Knowledge and Data Engineer- 24 R

Reference 36

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Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Proceedings of the VLDB Endowment14(11), 2459–2472 (Jul 2021)

Reference 37

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Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Proceedings of the ACM on Management of Data1(1), 1–26 (May 2023).https: //doi.org/10.1145/3588938, http://dx.doi.org/10.1145/3588938

Reference 38

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This paper cites Com- munications of the ACM57(10), 78–85 (2014).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Com- munications of the ACM57(10), 78–85 (2014)

Reference 39

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Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach In: 2023 IEEE 39th Inter- national Conference on Data Engineering (ICDE)

Reference 40

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Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching

Reference 41

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This paper cites IEEE Transactions on Systems, Man, and Cybernetics: Systems52(2), 1156–1166 (Feb 2022).

Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach IEEE Transactions on Systems, Man, and Cybernetics: Systems52(2), 1156–1166 (Feb 2022)

Reference 42

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Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach Jellyfish: A Large Language Model for Data Preprocessing

Reference 43

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Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach IEEE Transactions on Information Forensics and Security 17, 3433–3448 (2022)

Reference 44

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Reference 2023

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Pith citing papers

No inbound Pith citation observations are available.