Paper Citation Record · LEDGER

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models

As of 18 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.04190.

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

pith.paper-citation-record.v1
2608.04190 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:48:58.844476Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

32 of 32 outbound references displayed

verified exact2
verified fuzzy14
unresolved15
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57e83dac-1d39-4c09-a981-e8db106ff4ff · outbound

This paper cites Leiva and Noel Ngu and Joshua Shay Kricheli and Aditya Taparia and Ransalu Senanayake and Paulo Shakarian and Nathaniel D.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Leiva and Noel Ngu and Joshua Shay Kricheli and Aditya Taparia and Ransalu Senanayake and Paulo Shakarian and Nathaniel D

Reference 1

Resolution: verified exact; doi, observed 2026-08-15T14:48:58.896604Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c4fad78e-d832-427a-b160-c2a793466255 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , month =.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , month =

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.299317Z

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Observation ff35930b-e2da-4cfe-bf9b-6097b2844d79 · outbound

This paper cites an unresolved cited work.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation 711c775c-7a04-4f28-996f-38b41d10f3eb · outbound

This paper cites an unresolved cited work.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Unresolved cited work

Reference 4

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Observation 78ef8b95-c0b2-439f-a9ce-4a7731e83bbf · outbound

This paper cites 2024 , eprint=.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models 2024 , eprint=

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.277196Z

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Observation d862ffb1-0630-4699-9ff4-cba55ca6f0c2 · outbound

This paper cites Proceedings.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Proceedings

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.266415Z

Source-reported events for the cited work

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Observation 72b93177-f59a-47a0-a353-e65abbea7baf · outbound

This paper cites 2025 , eprint=.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models 2025 , eprint=

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.256298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1c0244e4-24f5-43a4-a79b-3779109ac078 · outbound

This paper cites AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

Reference 8

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Observation d7ae2b86-b627-475d-997f-a4ffe51c77f7 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:58.765796Z

Source-reported events for the cited work

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Observation 9632782c-423a-4239-a5dd-a4671210a06e · outbound

This paper cites Proceedings of.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Proceedings of

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.245635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 511ceedf-e984-4754-9545-f75e8a83729c · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:58.772586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8bbe7a4-6c5e-47b5-9e4f-236514533b30 · outbound

This paper cites an unresolved cited work.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:48:59.227987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4bbf278e-b3ae-4643-9aed-721a95d9e975 · outbound

This paper cites an unresolved cited work.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:58.779179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 415f089d-93d3-49ea-a34e-63c252977862 · outbound

This paper cites PyReason: Software for Open World Temporal Logic.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models PyReason: Software for Open World Temporal Logic

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:58.782576Z

Source-reported events for the cited work

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Observation 0820cfcd-5585-4ceb-b067-4ba5861e1985 · outbound

This paper cites AI open , volume=.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models AI open , volume=

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.209634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 218d5008-f684-43a8-8ac5-fd90f321f107 · outbound

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

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models International conference on machine learning , pages=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:58.789638Z

Source-reported events for the cited work

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Observation 1ab070aa-9237-4467-b6f3-2ddc35b6b5db · outbound

This paper cites Perspectives on psychological science , volume=.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Perspectives on psychological science , volume=

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.191881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f98d8bb-82ba-40f5-99cf-f65c62c423ec · outbound

This paper cites International Conference on Neural-Symbolic Learning and Reasoning , pages=.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models International Conference on Neural-Symbolic Learning and Reasoning , pages=

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.180666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation daa7c197-2a73-4174-8b64-dd3464fd5235 · outbound

This paper cites Trends in Cognitive Sciences , year=.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Trends in Cognitive Sciences , year=

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.168975Z

Source-reported events for the cited work

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Observation 79b64cdb-303d-4e43-b7f8-548dd3fce591 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.158254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a74b8db2-1943-45e9-bf2e-c273f25cfa07 · outbound

This paper cites Proceedings of.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Proceedings of

Reference 21

Resolution: verified exact; doi, observed 2026-08-15T14:48:58.884654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f246dc10-68c8-4abd-9fe9-31ef14cea7f8 · outbound

This paper cites Proceedings of the 11th International Joint Conference on Artificial Intelligence - Volume 2 , pages =.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Proceedings of the 11th International Joint Conference on Artificial Intelligence - Volume 2 , pages =

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.147296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0237ced6-f1a3-40f1-b80d-34eb133e8ebc · outbound

This paper cites A theory of diagnosis from first principles , journal =.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models A theory of diagnosis from first principles , journal =

Reference 23

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Source-reported events for the cited work

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Observation d470f756-297b-4397-b1d6-bd7eb5452775 · outbound

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

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Advances in neural information processing systems , volume=

Reference 24

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

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models International conference on machine learning , pages=

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:58.819582Z

Source-reported events for the cited work

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Observation 379bde9e-f087-40f6-8968-a748f2f55b6c · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Explaining and Harnessing Adversarial Examples

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:58.823146Z

Source-reported events for the cited work

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Observation f672b40a-2786-4ecf-92c5-e146ee90b892 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:58.826708Z

Source-reported events for the cited work

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Observation c0367275-abe0-4d47-b7c7-d41d82f06992 · outbound

This paper cites Poisoning Attacks against Support Vector Machines.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Poisoning Attacks against Support Vector Machines

Reference 28

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Source-reported events for the cited work

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Observation b53e7196-8e2b-41af-9689-6fd61c0237e3 · outbound

This paper cites Proceedings of the 2018 ACM SIGSAC conference on computer and communications security , pages=.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Proceedings of the 2018 ACM SIGSAC conference on computer and communications security , pages=

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.123609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 043d32bc-d5fd-4d60-b15e-5503d14b85fc · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.112131Z

Source-reported events for the cited work

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Observation 1c8b6b25-19ca-42bd-bc0f-305ac4100447 · outbound

This paper cites Ensemble Adversarial Training: Attacks and Defenses.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models Ensemble Adversarial Training: Attacks and Defenses

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T14:48:58.840885Z

Source-reported events for the cited work

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Observation b8fffb8d-6877-4499-9c74-4fe7f37cc9a9 · outbound

This paper cites IEEE Transactions on Circuits and Systems for Video Technology , year=.

Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models IEEE Transactions on Circuits and Systems for Video Technology , year=

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:48:59.101271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.