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Paper Citation Record · LEDGER

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement

As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2605.14294.

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

pith.paper-citation-record.v1
2605.14294 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T02:34:41.842924Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

39 of 39 outbound references displayed

  • verified exact11
  • verified fuzzy13
  • unresolved1
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch10

External citation measurements

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Outbound references

Observation b4ed7d86-0fb5-4500-9223-f81288154699 · outbound

This paper cites Srivastava, and Kai-Wei Chang.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Srivastava, and Kai-Wei Chang

Reference 1

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Observation be504f55-2296-4a24-b797-270cc0831e88 · outbound

This paper cites In: Sedoc, J., Rogers, A., Rumshisky, A., Tafreshi, S.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Sedoc, J., Rogers, A., Rumshisky, A., Tafreshi, S

Reference 2

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Observation fed22034-9ab6-4f41-a88d-f4b6586e1ba5 · outbound

This paper cites In: Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation

Reference 3

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Observation 7f58e0c3-3d0c-4b71-aa77-e0ec18dca737 · outbound

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement ACM Trans

Reference 4

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Observation 6e273ff1-dbc7-4beb-aca6-76b9bf5d26db · outbound

This paper cites Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

Reference 5

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Unresolved cited work

Reference 6

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Observation 2872de07-5499-40f0-b843-47d69d4b2241 · outbound

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Unresolved cited work

Reference 7

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Observation 31f0c182-68c5-497f-8ed9-6cc65912b482 · outbound

This paper cites doi:10.29007/7wxb , urldate =.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement doi:10.29007/7wxb , urldate =

Reference 8

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This paper cites and Isac, Omri and Katz, Guy and Rieser, Verena and Lemon, Oliver , year =.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement and Isac, Omri and Katz, Guy and Rieser, Verena and Lemon, Oliver , year =

Reference 9

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This paper cites (eds.) Find- ings of the Association for Computational Linguistics: ACL 2023.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement (eds.) Find- ings of the Association for Computational Linguistics: ACL 2023

Reference 10

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Observation 35bb8097-9c19-4266-8a60-62070262b7f3 · outbound

This paper cites https://doi.org/10.18653/v1/2023.findings-acl.117.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement https://doi.org/10.18653/v1/2023.findings-acl.117

Reference 11

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Observation 240b6097-de50-43f5-ac56-6e838f72476d · outbound

This paper cites BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

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

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: 2018 IEEE Symposium on Security and Privacy (SP)

Reference 13

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Observation b5224e87-aaee-4ef2-94d2-668c03690808 · outbound

This paper cites In: Cohn, T., He, Y., Liu, Y.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Cohn, T., He, Y., Liu, Y

Reference 14

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Observation 1352e9f3-fba3-4cda-b050-ae5146fc74ff · outbound

This paper cites and Julian, Kyle and Kochenderfer, Mykel J.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement and Julian, Kyle and Kochenderfer, Mykel J

Reference 15

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Observation 02e60fc2-0f2b-4d82-a088-aa58f0bb1ef9 · outbound

This paper cites In: 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC).

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: 2021 IEEE/AIAA 40th Digital Avionics Systems Conference (DASC)

Reference 16

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Observation 8a2af878-1e0f-4c23-97ff-ba19d98e2159 · outbound

This paper cites The 6th international verification of neural networks competition (VNN-COMP 2025): Summary and results.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement The 6th international verification of neural networks competition (VNN-COMP 2025): Summary and results

Reference 17

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This paper cites Journal of Machine Learning Research 25(12), 1–53 (2024), http://jmlr.org/papers/v25/23-0119.html.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Journal of Machine Learning Research 25(12), 1–53 (2024), http://jmlr.org/papers/v25/23-0119.html

Reference 18

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This paper cites In: Computer Safety, Relia- bility, and Security: 42nd International Conference, SAFECOMP 2023, Toulouse, France, September 20–22, 2023, Proceedings.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Computer Safety, Relia- bility, and Security: 42nd International Conference, SAFECOMP 2023, Toulouse, France, September 20–22, 2023, Proceedings

Reference 19

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement year =

Reference 20

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement librosa/librosa: 0.6.3

Reference 21

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Towards Crafting Text Adversarial Samples

Reference 22

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Neural network verification with branch-and-bound for general nonlinearities

Reference 23

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This paper cites In: International Conference on Learning Representations (2020), https://openreview.net/forum?id=BJxwPJHFwS.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: International Conference on Learning Representations (2020), https://openreview.net/forum?id=BJxwPJHFwS

Reference 24

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Proceedings of the ACM on Programming Languages , volume =

Reference 25

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Yarowsky,D.,Baldwin,T.,Korhonen,A.,Livescu,K.,Bethard,S.(eds.)Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

Reference 26

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: 7th International Conference on Learning Repre- sentations, ICLR 2019, New Orleans, LA, USA, May 6-9

Reference 27

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This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 28

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This paper cites In: Che, W., Nabende, J., Shutova, E., Pilehvar, M.T.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Che, W., Nabende, J., Shutova, E., Pilehvar, M.T

Reference 29

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This paper cites In: Ruiz, F., Dy, J., van de Meent, J.W.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Ruiz, F., Dy, J., van de Meent, J.W

Reference 30

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Observation d8d59ca3-a3cd-47c7-af62-33a9363130f2 · outbound

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Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Dy, J., Krause, A

Reference 31

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Observation 9817abc6-c845-4d54-a208-3bdbe5cfadb1 · outbound

This paper cites Introduction to Transformers: an NLP Perspective.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Introduction to Transformers: an NLP Perspective

Reference 32

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation bbc4e8ac-a071-4458-9054-46dbccc0bb43 · outbound

This paper cites In: International Conference on Learning Representa- tions (2021), https://openreview.net/forum?id=nVZtXBI6LNn.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: International Conference on Learning Representa- tions (2021), https://openreview.net/forum?id=nVZtXBI6LNn

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:25:05.897725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T02:34:41.842924Z digest=sha256:bd5f736b60438542507b87ad9a84ee42b89ab3a12bb84864f360e8fcbdec7d07

Observation 9f2ffe9b-7047-4bec-8472-ac8aacaab394 · outbound

This paper cites In: Pro- ceedings of the 32nd International Conference on Neural Information Pro- cessing Systems.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Pro- ceedings of the 32nd International Conference on Neural Information Pro- cessing Systems

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:25:05.808514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T02:34:41.842924Z digest=sha256:5567137b076a935a669033c8969552bdfcd9c3d1fcb47e59a7a834c8a74730a3

Observation 1838c68f-bcfe-4dfa-beb5-23ace195f155 · outbound

This paper cites In: Proceedings of the 29th International Conference on Neural Information Processing Systems - Volume 1.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Proceedings of the 29th International Conference on Neural Information Processing Systems - Volume 1

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:25:05.839961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T02:34:41.842924Z digest=sha256:8539396d3365f805a5e64e384ca3e507f354408b4cefecda568d18666880e451

Observation b0d18652-8150-4edc-a206-5ff2fafa2a84 · outbound

This paper cites an unresolved cited work.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Unresolved cited work

Reference 36

Resolution
verified exact
doi, observed 2026-05-15T02:38:32.821140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T02:34:41.842924Z digest=sha256:dab831d2ae045472282c417c610ac96bca3767f639cd264903bd0ec90e3406f0

Observation d4c1329b-9428-4340-aefe-b8f417418e89 · outbound

This paper cites Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement Safety and Performance, Why not Both? Bi-Objective Optimized Model Compression toward AI Software Deployment

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:38:32.881546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T02:34:41.842924Z digest=sha256:a10c01a931152425b288434b7dc4eaf56430f0cc87328cfa21c69e6910d8b933

Observation 98075875-7db3-4d78-984f-99e96b0fb505 · outbound

This paper cites In: Oh, A.H., Agarwal, A., Belgrave, D., Cho, K.

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In: Oh, A.H., Agarwal, A., Belgrave, D., Cho, K

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:25:05.804763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T02:34:41.842924Z digest=sha256:864c12d73ec403f2de60cacceff0d02077f96a7c650a5abcc1ca0c28a8cd4600

Observation 52c3be05-e5fd-4108-adb3-e48f79c3e079 · outbound

This paper cites In particular, [23] define the lower and upper bounds as follows: αU = uy, β U = lx, γ U = −lxuy, αL = ly, β L = lx, γ L = −lxly, whenx∈ [lx, ux] andy∈[l y, uy].

Precise Verification of Transformers through ReLU-Catalyzed Abstraction Refinement In particular, [23] define the lower and upper bounds as follows: αU = uy, β U = lx, γ U = −lxuy, αL = ly, β L = lx, γ L = −lxly, whenx∈ [lx, ux] andy∈[l y, uy]

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T04:25:05.798270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T02:34:41.842924Z digest=sha256:55755f7f71d7cfb99df74e9bd6424eb3994ca321cce4f8281aead826c6853f8a

Pith citing papers

No inbound Pith citation observations are available.