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Paper Citation Record · LEDGER

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones

As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.14835.

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

pith.paper-citation-record.v1
2505.14835 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:23.571928Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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 fuzzy12
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b63c9bfb-0b06-47dd-8724-d61b7105eb2b · outbound

This paper cites an unresolved cited work.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:31:23.890117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b1234309-8b78-466b-a954-4c0a1d78a8a3 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a6797b8c-72cd-4ff4-987d-a413ab0e0fe9 · outbound

This paper cites GPT-4 Technical Report.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones GPT-4 Technical Report

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:23.498018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:31:23.498018Z digest=sha256:956a79c1b1f1c3f3e842ebcd791b29b4c4a2f947e4b9d72ce4337235334206de

Observation 2859f771-3615-4522-b4ab-b88a321e5d9b · outbound

This paper cites In: Proceedings of the 6th ACM symposium on information, computer and communi- cations security.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones In: Proceedings of the 6th ACM symposium on information, computer and communi- cations security

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.876133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation aa39d6cb-62f9-48e8-9d88-882c31246b1e · outbound

This paper cites In: 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones In: 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.862389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9832f704-dd7b-4a9f-9d9f-1b50d05642bb · outbound

This paper cites In: 31st USENIX Security Symposium (USENIX Security 22).

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones In: 31st USENIX Security Symposium (USENIX Security 22)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.848925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 690635cf-3cd3-4058-bc11-f5f00a86968d · outbound

This paper cites int8 (): 8-bit matrix multiplication for transformers at scale.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones int8 (): 8-bit matrix multiplication for transformers at scale

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.836245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:31:23.514492Z digest=sha256:42f685cc0725d6eda500b98c586807199c853c55e0806e63811544a5ec529016

Observation 6933c0f2-c0c5-4984-9caf-a90836873dca · outbound

This paper cites In: 2022 IEEE 61st Conference on Decision and Control (CDC).

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones In: 2022 IEEE 61st Conference on Decision and Control (CDC)

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.823077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 392cdd2a-b358-4e9f-934f-de5b77de4293 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 9

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no resolver link, observed 2026-08-07T15:31:23.522082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:31:23.522082Z digest=sha256:b606b2eb9ba03bade3e923b4b6bbe12595f79c81bd788ca12ef06fc795569b3b

Observation 5cf805d2-56a9-4483-9d2f-623d91b9730e · outbound

This paper cites The Washington Post5(2011).

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones The Washington Post5(2011)

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.809545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5d6b805a-a932-4e65-b23c-7d1fccbde716 · outbound

This paper cites MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Reference 11

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 57d79404-0a79-454c-98f1-ca85f3fdf633 · outbound

This paper cites Falcon2-11B Technical Report.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones Falcon2-11B Technical Report

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:23.533608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:31:23.533608Z digest=sha256:4fb6d8f89c9182f0bd73d3fc4714546c07976ba43f8394ea515e437b43b421f0

Observation 89a1dcfa-d0d0-4b59-bb16-570e96c8772c · outbound

This paper cites Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:23.537659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:31:23.537659Z digest=sha256:8f6e30de6f366371b47f6eaf96fe56a80ee8d68063fa7131cb95b1263bf60737

Observation 23f94c96-9c36-4700-a8af-f91988eb284d · outbound

This paper cites MIT Tech- nology Review (2013).

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones MIT Tech- nology Review (2013)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.796375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:31:23.541503Z digest=sha256:49a7849cb9cf81124d5a61e7286f0d46b0d89bf0f1d697f871a89766644f30dd

Observation 5a31a1bc-334f-4325-9ac0-72d2736f1faa · outbound

This paper cites In: 31st USENIX Security Symposium (USENIX Security 22).

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones In: 31st USENIX Security Symposium (USENIX Security 22)

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.782501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:31:23.545766Z digest=sha256:1c5d54e86c91f4969adb6338e57236f6b9c5a73a6b39a8a4aa9d50d6b4342640

Observation 4cafe3d2-8491-4a1b-818f-9e967ef040cb · outbound

This paper cites The New York Times7(2011).

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones The New York Times7(2011)

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.769368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:31:23.549094Z digest=sha256:ffd048797072f4ed19e6e4976e3e3b03adb55ce5f23a1cc6dba93b106b3f0b72

Observation 546d9cc7-131f-4da2-9f4f-7e7b30a05d13 · outbound

This paper cites Universal Adversarial Triggers for Attacking and Analyzing NLP.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones Universal Adversarial Triggers for Attacking and Analyzing NLP

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:23.552833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 61121a25-34d7-460a-9141-72b659903ffc · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones A Survey on Knowledge Distillation of Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:23.556856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8f45d2ce-af57-404d-aec8-4021e09aec38 · outbound

This paper cites In: 2020 IEEE Symposium on Security and Privacy (SP).

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones In: 2020 IEEE Symposium on Security and Privacy (SP)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.755545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:31:23.560793Z digest=sha256:d41941eefd13eae81fc8620b9e528f3da1f75be8a10d738b56f9d31c85408119

Observation 69ed7837-c047-47f7-9b49-dbf3b83679df · outbound

This paper cites In: 2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS).

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones In: 2024 IEEE 30th Real-Time and Embedded Technology and Applications Symposium (RTAS)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.741951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:31:23.564631Z digest=sha256:8ff8b9b828d89161e063692ccc5a2c37c0ad5b8a22f80f85f2ab2adfe2bd7836

Observation 4017b9cd-ac6c-4cff-9966-ac94640e4290 · outbound

This paper cites In: Proceedings of the 2020 IEEE Real-Time Systems Symposium (RTSS).

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones In: Proceedings of the 2020 IEEE Real-Time Systems Symposium (RTSS)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:31:23.727707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T15:31:23.568024Z digest=sha256:cacf3e62b8a65de55edb469989a88241abadafda13f3336e4908062a19a77518

Observation 50d1ed16-c5c4-45b0-84fd-db0d7e0bde73 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Robust and Efficient AI-Based Attack Recovery in Autonomous Drones Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:23.571928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.