Pith. sign in

Paper Citation Record · LEDGER

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks

As of 15 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2606.04317.

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

pith.paper-citation-record.v1
2606.04317 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:29:34.540587Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

51 of 51 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d161c61-8a1f-499e-9ffe-e59749e9fb96 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Imagenet classification with deep convolutional neural networks,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:1c89fddd8171c6ba420dd75d8b4843b395d4142a5289d9c30410edd50feb3a35

Observation a04340f9-0822-483d-9a48-113d4551cdfd · outbound

This paper cites Learning deep structured semantic models for web search using clickthrough data,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Learning deep structured semantic models for web search using clickthrough data,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:bf450aff477c2d0e9065d26677404da171c2b7e498b51d2b6890faf702b41aeb

Observation 562acf56-727d-480f-afe2-10d4363128d9 · outbound

This paper cites Wide & deep learning for recommender systems,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Wide & deep learning for recommender systems,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:44a18521803fd9da3d6e565ead3a4d3774a1509c99c781b419b5f404bf7e4429

Observation 1e9cff5d-c348-4355-aa4a-03734af1fb14 · outbound

This paper cites Deep neural networks for youtube recommendations,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Deep neural networks for youtube recommendations,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:f79a587428d63cc9ebc1bc6d60c7d63ec985d5489e27e9e24a0774b38ea2c4f5

Observation b38ab979-c599-472a-b2e9-f690db1c1ecb · outbound

This paper cites Clipper: A low- latency online prediction serving system,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Clipper: A low- latency online prediction serving system,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:f49286b9f555224315f9fee14a78dfe7beaff088b527393bde962acc25a12665

Observation cc3dc184-01b5-4fc5-bf4a-e84f9e06e506 · outbound

This paper cites Model inversion attacks via prediction error reduction,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Model inversion attacks via prediction error reduction,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:9b7dc8d2f02b79fd4a8d93455adc8b3ac6980c3c19f5e988c685757ff8166827

Observation bce403ce-fb80-46a1-bdf3-4e8824ad95ea · outbound

This paper cites Trusted deep neural execution—a survey,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Trusted deep neural execution—a survey,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:b5b877aca8afca6f681c954cb5e7f6b2e4b18f5839de9ff46033b9c61ddd7ec2

Observation 25e7fdb1-216b-4f27-9bb6-80a0a8a8a162 · outbound

This paper cites Supply-chain attacks in machine learning pipelines: A survey of threats and mitigations,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Supply-chain attacks in machine learning pipelines: A survey of threats and mitigations,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:dde216e7d08a48c2923a575ca810ec1a1a4a72fd54a901e7640f6d5403102a3b

Observation 34abac19-05d4-4504-b727-60419da3e4b2 · outbound

This paper cites Weight poisoning attacks on pre- trained models,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Weight poisoning attacks on pre- trained models,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:d425ff0daa111b33b3d8dea737fe077629ced5e67b19bebba4152713afaabef9

Observation 2c1ec01c-ded8-4d69-91cc-98bdb22417cf · outbound

This paper cites Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.706814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:2b10f28385997b582bc7645999a69c9dccbfa15a8e42127a59b420dccb43140c

Observation 53cfab94-db6c-4c3e-88e6-e5cc80942c97 · outbound

This paper cites Pickle’s hidden perils: A systematic study of insecure model serialization,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Pickle’s hidden perils: A systematic study of insecure model serialization,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:433a78005ab47e236bd8d82ceabab0dbc55dd24fbfcfe778c412080e72bdcec7

Observation d693baa7-46ed-4d0e-92fc-ebead99a7a33 · outbound

This paper cites Morello: Security analysis of ml model registries and pipelines,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Morello: Security analysis of ml model registries and pipelines,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:c6d91d1790cc8f237b05f90cffd55a127f6d2c2044736388df52810d2b983914

Observation eae3d96d-8c96-4012-a61d-092a8f6af3a9 · outbound

This paper cites IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.702252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:278e3834c7b85c4a89dcc395bba0ae125b1e6b8f36c4a8cda22163b053d3a181

Observation 3596b189-161f-4f9c-84b1-1a000d096577 · outbound

This paper cites Bit-flip attack: Crushing neural network with progressive bit search,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Bit-flip attack: Crushing neural network with progressive bit search,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:68d78582bd5916fa70c87dfde9994562fc78b6d86031537f5393b57c34342d54

Observation 0a7cf3bc-1b47-458d-a8cc-f14e09b46e9d · outbound

This paper cites Fault sneaking attack: A stealthy framework for misleading deep neural networks,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Fault sneaking attack: A stealthy framework for misleading deep neural networks,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:e5ef912db1a8e88aca0b1ce19594a35ef94d9dee7b233e32e60443b7fcb7a41f

Observation 87245735-47d0-4b73-af0c-0d5b8322ba25 · outbound

This paper cites Verification of bit-flip attacks against quantized neural networks,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Verification of bit-flip attacks against quantized neural networks,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:578013615689584e7bb5f42d777b831a6b2a7a11a18f69fab5e9dc08bc5b130c

Observation 75efa3ef-3d66-43dd-8aea-77e5715c7d50 · outbound

This paper cites Deep- hammer: Depleting the intelligence of deep neural networks through targeted chain of bit flips,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Deep- hammer: Depleting the intelligence of deep neural networks through targeted chain of bit flips,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:cabbb37df3ea851112b252896660b008b3c15e890d12b41953e90938bb37a70e

Observation 1eebeda7-4a5c-4ee9-b885-99b8626bc92c · outbound

This paper cites Flip it once: Bfa attacks with single weight perturbation,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Flip it once: Bfa attacks with single weight perturbation,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:1320d9a5c4c8db4be5797d193cb23a90c592af8499589af5400fec2d6c365535

Observation 6719f0f7-498e-4cfc-b9a4-448a061e0055 · outbound

This paper cites 3sat: A simple self-supervised adversarial training framework,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks 3sat: A simple self-supervised adversarial training framework,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:6e0a6d42b777f4d72ae58e6fd121e94429eb0a664bc4732c966b789f206bd1f1

Observation 97710faa-ae87-4cfa-946c-0abf0026db35 · outbound

This paper cites Towards security threats of deep learning systems: A survey,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Towards security threats of deep learning systems: A survey,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:772756da93bd808877335b0d016a9b0bba290fded260c4fe775f31c49893be02

Observation 0718d9e5-16e5-48cb-b275-0b1f85590958 · outbound

This paper cites Rise of inspectron: Automated black-box auditing of cross-platform electron apps,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Rise of inspectron: Automated black-box auditing of cross-platform electron apps,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:8c2e929b80af3e60958f1ff1105cbfcf0004e28379713a4a0cf1800c892320f0

Observation 8b997596-96e4-44c8-ba0e-92d5029dc65c · outbound

This paper cites Defending against web application attacks: Approaches, challenges and implications,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Defending against web application attacks: Approaches, challenges and implications,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:168279240378233f3e979d5c4a59dfb8f548ed8615874be2619873b0a31c526a

Observation ccc61352-1f3e-4dfe-80f3-d8da56b965ae · outbound

This paper cites Bit-flip attack: Crushing neural network with progressive bit search,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Bit-flip attack: Crushing neural network with progressive bit search,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:f533f0e0f37bd5d32722e761a718bd5b0663f6d9dc43b3fd7cbce1c4728be433

Observation 3917478c-a2b9-4448-a644-e55ec6fb1429 · outbound

This paper cites Defending and harnessing the bit-flip based adversarial weight attack,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Defending and harnessing the bit-flip based adversarial weight attack,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:2be29d4987df65e92420f66b25606f40492cbeb11e05ae15ea9d95c8a6b4df80

Observation 5e33af48-eb9d-427c-a658-211235dadbeb · outbound

This paper cites Aegis: Mitigating targeted bit-flip attacks against deep neural networks,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Aegis: Mitigating targeted bit-flip attacks against deep neural networks,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:4c6547d163883708dd03fde54ce88e251e5e6c74045193b0cc4b9152e4b90fe0

Observation 5a799168-4fa7-43d9-99d9-3abc68bcb5f4 · outbound

This paper cites Efficient encoding of quasi-cyclic low-density parity-check codes,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Efficient encoding of quasi-cyclic low-density parity-check codes,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:a99b29c076c56bdb63a66ff0653af96aa1d862668952b2c39683885396699b3b

Observation 17096136-1588-4b68-b561-1ed3b67b749b · outbound

This paper cites Learning multiple layers of features from tiny images,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Learning multiple layers of features from tiny images,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:e328221edffe3e18540c678a30ff46482428be13efcc2f4325acf765a9ae8e4f

Observation 1d20faf9-1170-434c-a051-e26e7e290e88 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Imagenet: A large-scale hierarchical image database,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:5d67cc4cc0c3acd3d6ec9ed359d34aa14ed75806e32523dbc48dbb4613bb8eb2

Observation 1b624299-9699-44c4-bdee-f9387cba7829 · outbound

This paper cites (2026) https://github.com/beanduan22/pardef.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks (2026) https://github.com/beanduan22/pardef

Reference 29

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:5b70d91a715aa94ad09cb305929fd1d6026a0846c84211c173dbdb0250e1673d

Observation e549feb4-94ce-4864-9bcb-f815b4dbb341 · outbound

This paper cites Malicious ai models undermine software supply-chain security,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Malicious ai models undermine software supply-chain security,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:8c8709c143138663ac183e2cf6b7411af0e318691a5dfb298d8db0322ce16407

Observation d12e7956-4721-42fc-a440-b6652ea00661 · outbound

This paper cites Threat modeling ai/ml with the attack tree,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Threat modeling ai/ml with the attack tree,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:efe8e56c7fc80ae376501c82501c6042a0d2ff1d2e7b6b0ce273d3cd19c48348

Observation de01a606-7334-425f-81bc-cdc692f881c1 · outbound

This paper cites A com- prehensive survey on non-invasive fault injection attacks,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks A com- prehensive survey on non-invasive fault injection attacks,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:dbd8b676f31d8382c33ef0688cec4703ccc92cc66471d01dc1b33ba48cfb620f

Observation 1ab0c1cd-b9c8-4ac7-bef0-d6294cc1adcc · outbound

This paper cites Proflip: Targeted bit-flip attack with probabilistic search,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Proflip: Targeted bit-flip attack with probabilistic search,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:2d804a624aa614da514c26973598c8c4a4156e033980475a5ca42e7392a2deb3

Observation 5eee07bf-5872-4704-903d-6c06b3525a88 · outbound

This paper cites Fault injection attack on deep neural network,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Fault injection attack on deep neural network,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:9bf42cf49f43c2e2a0751898946aef6d9f0dee00b1f8edfc6f240a90a5ee7a5f

Observation 5331468c-aca7-4d40-9928-84d3885fd5dd · outbound

This paper cites Terminal: Terminating bit-flip attack via end-to-end bit corruption detection,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Terminal: Terminating bit-flip attack via end-to-end bit corruption detection,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:f49b43f6c667da930b2aff7beb67ca3cc56a5c64d04c2d38009cb677acf9f983

Observation 8804b3b3-ec01-40b0-b652-e21c64f1a698 · outbound

This paper cites Bitshield: Defending against bit-flip attacks on dnn executables,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Bitshield: Defending against bit-flip attacks on dnn executables,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:0bd4afd78f01994285a054b8840059ea28aa1d06494eb53476ba08fddc85c7cb

Observation a83e2c87-32d1-48ae-a4af-ce78fd3341e0 · outbound

This paper cites Slalom: Fast, verifiable and private execution of neural networks in trusted hardware,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Slalom: Fast, verifiable and private execution of neural networks in trusted hardware,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:a0c468ce5d821500267cf1405908594527649c2959a303f86f6027e19f9e5075

Observation f5f20cb1-aacd-47eb-877b-3121137b60d8 · outbound

This paper cites DarkneTZ: Towards model privacy at the edge using trusted execution environments,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks DarkneTZ: Towards model privacy at the edge using trusted execution environments,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:96cb430d93ce53081c66aeea2db47a18425279d6170ea744be22fe1e3ed2b5ac

Observation 91a2770f-9da1-4ed0-82f6-9c2d9aac3139 · outbound

This paper cites Intel® software guard extensions (intel® sgx) support for dynamic memory management inside an enclave,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Intel® software guard extensions (intel® sgx) support for dynamic memory management inside an enclave,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:c070186f80ca5deefa45de5530e1e0398678a0c2affbbc784ec8b62e8dde7c2b

Observation c4722795-d981-4a7a-94f7-cdb005f78536 · outbound

This paper cites Sok: Understanding the prevailing security vulnerabilities in trustzone-assisted tee systems,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Sok: Understanding the prevailing security vulnerabilities in trustzone-assisted tee systems,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:6a4cfebb79870ceb64a0b0db750301278606b3d9ab55d035ef5bd9ba908d3a45

Observation 3b6e376a-9b29-48f7-91bf-114d9ab93fb1 · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:ccf2718dfa32ccb24f04db31e8a9213674988de6651affd342ffe440570c0b8e

Observation 2a104c1d-0994-4111-a97e-c6c3adbd691b · outbound

This paper cites Toward confidential cloud computing,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Toward confidential cloud computing,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:0a275b492d62f6740106f9ede2e0627d2ad1aef894981a1140d5661ea95a4fc4

Observation a246183e-7b65-4357-97e9-37c44bb8098f · outbound

This paper cites A Tight Max-Flow Min-Cut Duality Theorem for Non-Linear Multicommodity Flows.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks A Tight Max-Flow Min-Cut Duality Theorem for Non-Linear Multicommodity Flows

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.703807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:5db7d687dc7ad43f3692cc3a3c602a494024f3de952660ca151eb164bef03953

Observation 317e13bd-0ba2-4a88-837a-b06a6f1b0e73 · outbound

This paper cites Polynomial time cryptanalytic extraction of neural network models,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Polynomial time cryptanalytic extraction of neural network models,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:87078906ce1360de5feb8a38b20f82095a7ca7d189c02df026268125b3c69dbe

Observation 56f8524c-9544-4cd9-a178-fbf76d5f2c18 · outbound

This paper cites A review on machine learning for channel coding,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks A review on machine learning for channel coding,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:4eeb7410d30955f892f57b13d0ecbd6e74f650b3234cf38e98f6fb889c123af3

Observation 0dd19573-0e51-4632-a73d-cdabc7182270 · outbound

This paper cites Memory system optimization for fpga-based implementation of quasi-cyclic ldpc codes decoders,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Memory system optimization for fpga-based implementation of quasi-cyclic ldpc codes decoders,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:670488882a600fb0993e6e8bf8ca7ae17e85ed27c9d01168bffc80b3b14cebfe

Observation 2d624c86-4e93-4efa-bc3b-8d3fb4c5c3a4 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Training data-efficient image transformers & distillation through attention,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:3c9069d30dbc6dd620fc5d67e3fcfd3d9b77fa16222be7b433798504fedca039

Observation 2b8a7139-6d15-4191-9960-308a5529f427 · outbound

This paper cites Advanced Encryption Standard (AES) Key Wrap Algorithm,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Advanced Encryption Standard (AES) Key Wrap Algorithm,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:4303a5415dd5f769f2ef235971e2aef3810c272e8601a0dbdc13591d298b37d9

Observation 634a41d9-baf4-40ae-8d01-f6a3a158f202 · outbound

This paper cites A secure and reliable bootstrap architecture,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks A secure and reliable bootstrap architecture,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:7085909a532227f0b76a311d5f0dd4b242accf6aa4658deb66d4fca4a058b41a

Observation fa9261e9-f65b-4a16-a98b-0ed8221d6347 · outbound

This paper cites An Exploratory Study of Attestation Mechanisms for Trusted Execution Environments.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks An Exploratory Study of Attestation Mechanisms for Trusted Execution Environments

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.699814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:416d80d851624b7421d228a487148037719a8c9298e2934c066263254e6f7d27

Observation fa60c19e-6617-471a-9ef1-4f7da3c08bc5 · outbound

This paper cites Intel trust domain extensions (TDX) architec- ture specification,.

Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks Intel trust domain extensions (TDX) architec- ture specification,

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-28T06:29:34.540587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T06:29:34.540587Z digest=sha256:7a421fea0ff527bdc638892e10f32aff516923959fa63e80e4ba8c663f90d000

Pith citing papers

No inbound Pith citation observations are available.