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Paper Citation Record · LEDGER

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention

As of 8 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2607.10197.

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

pith.paper-citation-record.v1
2607.10197 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:35:30.916717Z

measured 63 of 63 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

63 of 63 outbound references displayed

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External citation measurements

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Outbound references

Observation 410f752b-7de9-499d-be09-379cbe7f953e · outbound

This paper cites 2024 , eprint=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention 2024 , eprint=

Reference 1

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Observation 1fcc4563-331c-48b5-9a1c-328bfe57b0d8 · outbound

This paper cites Neurocomputing , volume=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Neurocomputing , volume=

Reference 2

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Observation c435f05e-ebba-4814-bac1-3ab3e959e938 · outbound

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention IJCAI , year=

Reference 3

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This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 4

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Observation 3b2583b3-2836-4b57-83e7-5a632e798cc9 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 5

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention NeurIPS 2023 Workshop: New Frontiers in Graph Learning , year=

Reference 6

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Advances in Neural Information Processing Systems , year=

Reference 7

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Advances in neural information processing systems , volume=

Reference 8

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Observation 2b177b64-8915-4302-a20f-9460e741a055 · outbound

This paper cites Temporal Knowledge Graphs: Integration, Querying, and Analytics , year =.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Temporal Knowledge Graphs: Integration, Querying, and Analytics , year =

Reference 9

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This paper cites Question Answering Over Temporal Knowledge Graphs.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Question Answering Over Temporal Knowledge Graphs

Reference 10

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This paper cites Aho and Jeffrey D.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Aho and Jeffrey D

Reference 11

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This paper cites Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 12

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Unresolved cited work

Reference 13

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Observation 8c8304d6-6665-4abd-b482-5b36ca4cc8dd · outbound

This paper cites Chandra and Dexter C.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Chandra and Dexter C

Reference 14

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This paper cites Scalable training of.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Scalable training of

Reference 15

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Unresolved cited work

Reference 16

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Observation cf1af594-2975-4b65-b302-eb9b1bef0fe5 · outbound

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention International Conference on Learning Representations , year=

Reference 17

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Observation 3d54482b-7526-4e5b-a667-53549d477d12 · outbound

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Advances in neural information processing systems , volume=

Reference 18

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Observation 9f1863c7-ec04-4e9d-a137-2b6f51095e32 · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) 2015 , year=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the International Conference on Learning Representations (ICLR) 2015 , year=

Reference 19

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Observation d3ecd19f-291e-48b4-b4af-f433dc371748 · outbound

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 29th ACM International Conference on Information & Knowledge Management , pages=

Reference 20

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention THE WEB CONFERENCE 2025 , year =

Reference 21

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Observation 19821c4c-41ec-408c-9e2c-3335fe35a93b · outbound

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Advances in Neural Information Processing Systems , volume=

Reference 22

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Observation 2511aaba-1f7d-4a06-98a4-d579df80433b · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=

Reference 23

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This paper cites Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=

Reference 24

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 25

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Observation 7696bb67-e687-4caa-b127-d81c3db919b2 · outbound

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention international conference on machine learning , pages=

Reference 26

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Observation b7a246ca-94dd-4af0-8798-6b49ffe7f977 · outbound

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 28th International Conference on Computational Linguistics , pages=

Reference 27

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 28

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 29

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Companion proceedings of the the web conference 2018 , pages=

Reference 30

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Communications of the ACM , volume=

Reference 31

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Harvard Dataverse , volume=

Reference 32

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Learning Sequence Encoders for Temporal Knowledge Graph Completion

Reference 33

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Tetreault , title =

Reference 34

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Advances in Neural Information Processing Systems , volume=

Reference 35

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention The Twelfth International Conference on Learning Representations , year=

Reference 36

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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 37

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Observation 5db4a9ad-6530-4c72-8eb6-d52b5be5de39 · outbound

This paper cites Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 38

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:57900a4d76324f8a9d8daeaab135c95395e6d330fb194950ffdbc1b455d80aa1

Observation 36027ac2-d0bd-44cd-86a6-4244981f8811 · outbound

This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , pages=

Reference 39

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:efbc93dfe13f0e8a75432696175fc4b411f004ce658fefc3bc95c19c56b99b66

Observation b51f7d14-9f18-46c7-b97c-5e72b342abfa · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 40

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:3b19a554cd819c00ccf2feafef8e4ee9bb076ce74fd05b14802a84fed7292df2

Observation bd467004-17d1-4fad-8ed9-c2d0c8cd425f · outbound

This paper cites International conference on learning representations , year=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention International conference on learning representations , year=

Reference 41

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:2855de98eb9975c5142b1f52db5bf6587db89bc8918242f85d726a81d53a0650

Observation ec90502f-0819-4b57-a8ce-9dd6626dbd56 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 42

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:2b6881009e894e564477ac6c1b9dbdb077b87a38e39bea142506891f6ecfb867

Observation 64a67d9d-f605-4f09-8dd4-d1b90f82907c · outbound

This paper cites , author=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention , author=

Reference 43

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:13ce807c4683954ab9b723fc03b71f46f61fa1f0385e98838bfec9018de3cf66

Observation 6610211f-87b6-4c2c-bd85-4a7cb2fb34fa · outbound

This paper cites Advances in neural information processing systems , volume=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Advances in neural information processing systems , volume=

Reference 44

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:79a18750408d7986652a93ffb9ecc136d41af12d176113622d10c9badac36ee1

Observation 48a3a06f-7bf6-4f9b-a337-aa4c9489f9be · outbound

This paper cites International conference on machine learning , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention International conference on machine learning , pages=

Reference 45

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:e5aebd49c5509583c22b728e9e1085b0bbb9cbda8f9ef8ef0b3121f73ccceb8d

Observation 0062e5ac-8724-4944-888b-a4940f2a3f96 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Advances in Neural Information Processing Systems , volume=

Reference 46

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:fd9a672a31e526911d07e33e98202e182219c0b0a0016997a6e9d3b162ea64d4

Observation 10517b69-796b-4ef5-bde4-b2fa66cf58cb · outbound

This paper cites Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval , pages=

Reference 47

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:151eda829067525cefc08e3f504ef35974dc53202f3baf75c58b0a23e67bafb4

Observation afc4009c-c9d3-4e77-a5c2-4bdcac60dde8 · outbound

This paper cites International Conference on Machine Learning , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention International Conference on Machine Learning , pages=

Reference 48

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:b753a770362c07065221809952da13f224285e0bbdacc1d191a57cf4213fd04b

Observation 17824d45-a12a-4e99-a9f0-7295292b803b · outbound

This paper cites Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 49

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:46c53df574a9a26f540f9f0b5296563898f8e458ec9bef29c169a030c47a3617

Observation 10a39ad8-8e2b-4345-a2cd-745a059ba124 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Findings of the Association for Computational Linguistics: ACL 2023 , pages=

Reference 50

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:86ddbba3a1085ebc8f3efab3763eb9dae4eb6bef78ca6b51a480198c276a6135

Observation 62c1211a-2417-4e66-8f4a-c04572a30c43 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Findings of the Association for Computational Linguistics: ACL 2023 , pages=

Reference 51

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:b60b0dc6b35379b80727f734fc8ffb66d846fe236c1cc632ea7735c6c206c5da

Observation baaf2caf-1b01-423a-8ec7-2036766f5a25 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 52

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:bbf986cd1d2696d6f3b38e3f1e9880fc5ffae2977331c478ab5919d61fe5366c

Observation 05660b64-d97f-4fd7-9a80-72ce99cb4b55 · outbound

This paper cites 2024 IEEE 40th International Conference on Data Engineering (ICDE) , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention 2024 IEEE 40th International Conference on Data Engineering (ICDE) , pages=

Reference 53

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:e5da0586cdce02a24addc2e5e45a558bb287b55d849025198443cd8c23d92041

Observation b90027a6-0cf2-40b0-8c72-91795180780c · outbound

This paper cites Joint European conference on machine learning and knowledge discovery in databases , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Joint European conference on machine learning and knowledge discovery in databases , pages=

Reference 54

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:b1ba991b4ec1c96028bb89bbf3a5d59152ea877093e1567aa48ee8412ee6a901

Observation 5ca14321-2a31-49d5-a1fd-c799e69c72a1 · outbound

This paper cites Proceedings of the 2021 conference on empirical methods in natural language processing , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 2021 conference on empirical methods in natural language processing , pages=

Reference 55

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:5aad58d63ea70f6b11f89b11a947e767a0e6401c5d5bf8491a3fb058637f077e

Observation a8ae2b7b-263f-4f6f-801b-945362623472 · outbound

This paper cites NAACL-HLT (Findings) , year=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention NAACL-HLT (Findings) , year=

Reference 56

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:f2c0e42559e5b2f1ef696f3b322e31ad44bfb86dc4b62f5ca7872decd85669da

Observation 3031fd74-ea64-4bd7-b428-05b8f07746e9 · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=

Reference 57

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:fdaa729f484b0e5257d8b34206659f6b471c60c58c5774abb8156d6890c12ed1

Observation 57cb7514-ae7a-4c84-8153-a4ad731fe78e · outbound

This paper cites The Third Learning on Graphs Conference , year=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention The Third Learning on Graphs Conference , year=

Reference 58

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:c763c63d82e760da552c1feea2d37bf8d23b867ba38b046fa1249ee2548a98d6

Observation 3a5c034c-2e1e-4b87-ab1a-bf295a23ded2 · outbound

This paper cites Proceedings of the 30th ACM international conference on information & knowledge management , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Proceedings of the 30th ACM international conference on information & knowledge management , pages=

Reference 59

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:da02ec2e027245c8e929fa5e60cee2fb07a6444117474d552bbc4a0d20b082c6

Observation ae1ea7e3-cc98-42cc-af18-2cfb7d476fb6 · outbound

This paper cites NeurIPS , year =.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention NeurIPS , year =

Reference 60

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:32c2fcd2dc1d61311c6e0c49d2fb891681aea9b7a23e8d1c9b30121ec9bf1c74

Observation 3c9bce87-2df9-4e88-a824-e609038f119f · outbound

This paper cites International conference on machine learning , pages=.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention International conference on machine learning , pages=

Reference 61

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:2ecd84c9960135a4e10ee79f42e9beec190f3ec9b4b5f84223cedb29b1878218

Observation a376d385-e9df-47a9-be21-2712edbd38aa · outbound

This paper cites Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion

Reference 62

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:8208e57f299c21a0177b384d791cba0523d2a7ca0e4966e6ff357648aebeb538

Observation 11012309-5163-4035-b6c2-a8be2adbda9d · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 63

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source=arxiv_source observed=2026-07-14T13:35:30.916717Z digest=sha256:4f7c5df4df12b934a0a731209170d5722492d08eae9ee4bd78c27f59b8bdd92c

Pith citing papers

No inbound Pith citation observations are available.