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Paper Citation Record · LEDGER

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:1908.06223.

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

pith.paper-citation-record.v1
1908.06223 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:57:49.831036Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

22 of 22 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e86a0e8-44c1-4e2e-b7f3-a6fc346ecd4d · outbound

This paper cites an unresolved cited work.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T12:57:49.831036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 120aaeac-5024-4cee-b6f3-ddd43c384728 · outbound

This paper cites Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T12:57:49.923156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.733931Z digest=sha256:df967edab65345942eb28b37599afe77aab1e7a01af806aeab35699809e2ab77

Observation fe16374d-5937-45b2-b02b-8e1c417a809b · outbound

This paper cites InAdvances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks InAdvances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.117977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 14ec88a6-ad9b-41a8-955b-0988636a5902 · outbound

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

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T12:57:49.764522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:57:49.764522Z digest=sha256:6637306cb873315413934c12b0964c7dcebd288c0647887c9b76088db8a65f0a

Observation 82c9c8c5-8946-4f1f-9cef-c2ab0f4fdc45 · outbound

This paper cites Decoupling Gating from Linearity.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks Decoupling Gating from Linearity

Reference 9

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unresolved
no resolver link, observed 2026-08-14T12:57:49.769574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:57:49.769574Z digest=sha256:6d7d1959d8d0d2a24af33367ebf4341b9ab09896221ed4f8655bc1e4554305ff

Observation a76de183-3877-47bb-9e34-816502c687d6 · outbound

This paper cites In 2018 IEEE Symposium on Security and Privacy, SP 2018, Proceedings, 21-23 May 2018, San Francisco, California, USA.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In 2018 IEEE Symposium on Security and Privacy, SP 2018, Proceedings, 21-23 May 2018, San Francisco, California, USA

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.103527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.774744Z digest=sha256:11590231e38af3113e9fdca10769447f4b9f3972237f468457b117dc57d901aa

Observation 9a6f0abc-dc5c-4a39-8549-868e6fa9f3df · outbound

This paper cites Journal of Guidance, Control, and Dynamics 42, 3 (2018), 598–608.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks Journal of Guidance, Control, and Dynamics 42, 3 (2018), 598–608

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.089386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.779173Z digest=sha256:99dc49498163350f56c44e831d5f1fbf856111dd84fcfd895f14c7e3f661e225

Observation 741583d9-ae58-4b70-a818-16603cc29575 · outbound

This paper cites In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27-30, 2016

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.060374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.788171Z digest=sha256:53b1d71cc69003a926c89379ed09ba400a0c0212e7636cac85c89a1edb61f7bd

Observation 7b936633-9a1d-4bb0-bec7-bcac69d4a34e · outbound

This paper cites In Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen, MBMV 2015, Chemnitz, Germany, March 3-4,.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen, MBMV 2015, Chemnitz, Germany, March 3-4,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.030430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dcddf407-1482-4406-87cd-5639f28beeef · outbound

This paper cites PACMPL 3, POPL (2019), 41:1–41:30.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks PACMPL 3, POPL (2019), 41:1–41:30

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.012852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.801428Z digest=sha256:f771e72d355bb251477e4d1afe2d86a79fccec2feeabda33fe6927a97c58d664

Observation 2c6ef1dd-9e01-4377-8913-20d7235ab053 · outbound

This paper cites In 27th USENIX Security Symposium, USENIX Security 2018, Baltimore, MD, USA, August 15-17,.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In 27th USENIX Security Symposium, USENIX Security 2018, Baltimore, MD, USA, August 15-17,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:49.981716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.811062Z digest=sha256:c72e2e32348eb70f048673d22a624a873234f24baec27d67125db39b9738c160

Observation 8954affb-8fa2-4cb6-b3f3-57413e05044d · outbound

This paper cites In 2018 Annual American Control Conference, (ACC).

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In 2018 Annual American Control Conference, (ACC)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:49.966048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 981fac8f-60b6-484e-b1fc-218ca0dfe747 · outbound

This paper cites Reachable Set Computation and Safety Verification for Neural Networks with ReLU Activations.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks Reachable Set Computation and Safety Verification for Neural Networks with ReLU Activations

Reference 20

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unresolved
no resolver link, observed 2026-08-14T12:57:49.820943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:57:49.820943Z digest=sha256:3129ecef5165273e668bfa2d2d3a5d73c575eb64c3fa2675b90d4d59f23cd14e

Observation 03ff8f72-dc80-4cc3-aab0-e3713dc46a14 · outbound

This paper cites In Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2019, Phoenix, AZ, USA, June 22-26,.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2019, Phoenix, AZ, USA, June 22-26,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:49.950622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.826411Z digest=sha256:6455d0db7163fac9d4b4b01f1ebebf8bea7e01dc88189dd67534179974ac8313

Observation c65c31fa-c93b-449c-bba6-df7b02b564d1 · outbound

This paper cites In Advances in Neural Information Processing Systems 7, [NIPS Conference, Denver, Colorado, USA, 1994].

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In Advances in Neural Information Processing Systems 7, [NIPS Conference, Denver, Colorado, USA, 1994]

Reference 1994

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:49.997601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.806053Z digest=sha256:97e7feeb020947b90c9d4a7d8a77c73097309599b47d7706783d341dccda3fbb

Observation 8246f800-37c1-45e4-b706-74071f95c0c7 · outbound

This paper cites In ESANN 2003, 11th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 23-25, 2003, Proceedings.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In ESANN 2003, 11th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 23-25, 2003, Proceedings

Reference 2003

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.132556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.754506Z digest=sha256:95c11ae8adf40523ab5f1b6a24bf6a117ff7cbb04d66f1df2780ec3c0a090516

Observation e6bd2c59-dc6a-401c-84bc-8f0dafd64b05 · outbound

This paper cites Handbook of satisfiability 185, 99 (2009), 457–481.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks Handbook of satisfiability 185, 99 (2009), 457–481

Reference 2009

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.146928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.749796Z digest=sha256:bebfb281b0bb1ba13e697035b9cc8ba3f4ff668cf5af7c74fcd96532b74a8967

Observation 42dfb11f-87db-466d-ac12-e30810b6649a · outbound

This paper cites In IEEE Conference on Computer Vision and Pattern Recognition, (CVPR) 2015, Boston, MA, USA, June 7-12,.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In IEEE Conference on Computer Vision and Pattern Recognition, (CVPR) 2015, Boston, MA, USA, June 7-12,

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.046049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 421a3120-3009-4912-9c58-da5fc51bb0cb · outbound

This paper cites In International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS).

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS)

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.161836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cc71d84a-ac92-4f2a-aaf9-9b348debf6b6 · outbound

This paper cites an unresolved cited work.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks Unresolved cited work

Reference 2017

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:57:50.074983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.783841Z digest=sha256:9b5fe8722663fe426b5ca1cd3916f2f07a0c925b6dd5393a22d383336b27e39e

Observation cf093ce9-2079-4da6-ad5c-558c9b879432 · outbound

This paper cites In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks In Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.176540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.739176Z digest=sha256:21ae4c653f4179c43b1448da8ac669b3a90a73de5bcaa63c293a0e180fc0329a

Observation 51486e64-a84f-4e1e-bb51-aa59b26b7f57 · outbound

This paper cites https://github.com/eth-sri/eran.

A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks https://github.com/eth-sri/eran

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:57:50.190632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-14T12:57:49.728555Z digest=sha256:863626bedb33e2a56da333b910121e531bc9868647cbac58cdced539f2d99242

Pith citing papers

No inbound Pith citation observations are available.