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Paper Citation Record · LEDGER

Uncheatable Machine Learning Inference

As of 16 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:1908.03270.

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

pith.paper-citation-record.v1
1908.03270 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:23:21.340760Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5db1aa2-00da-4011-9a9e-bc6ea1f1a649 · outbound

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

Uncheatable Machine Learning Inference BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T14:23:21.272717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:23:21.272717Z digest=sha256:e5b99e6a165d6dc4ad46fd59a1f29ad3ddcfae8ac66aeeb3a020388a38b88e56

Observation ba564fe9-7bad-40e5-914c-5ab48d79c1ef · outbound

This paper cites Cloud computingthe business perspective,.

Uncheatable Machine Learning Inference Cloud computingthe business perspective,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:23:21.537665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:23:21.279178Z digest=sha256:5a14d945bc99289e9b54cb5cfd480c939a6e220617673141cccd1c3714534331

Observation ac9deaa6-aefa-4d6c-b56d-fbbb55f7942e · outbound

This paper cites Web service level agreement (wsla) language specification,.

Uncheatable Machine Learning Inference Web service level agreement (wsla) language specification,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:23:21.524588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:23:21.284089Z digest=sha256:3e0e44f363051997f7085d9ad249331d98acca370bdaec11f8eb3c73081aef99

Observation 289e43d4-b423-4c93-ada9-ed684c6e5ebd · outbound

This paper cites Hiding images in plain sight: Deep steganography,.

Uncheatable Machine Learning Inference Hiding images in plain sight: Deep steganography,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:23:21.510220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:23:21.288018Z digest=sha256:b4379fb56313a3176db69222fee85018427fb33f83cb610d8ec68139a58c1115

Observation 4ae9322f-da71-4cfb-9956-b7b2962f1271 · outbound

This paper cites An overview of image steganography.

Uncheatable Machine Learning Inference An overview of image steganography

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:23:21.496077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:23:21.292356Z digest=sha256:6b0bfcc8e0f2c3f2dced335458eb877ff485beb3343f4e298fa25e0b0ffc70f4

Observation 07d02737-8626-4840-ac2b-5a4fe864d483 · outbound

This paper cites Reducing the dimensionality of data with neural networks,.

Uncheatable Machine Learning Inference Reducing the dimensionality of data with neural networks,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T14:23:21.297312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:23:21.297312Z digest=sha256:e6968059dece08bf4b0d8009249ca05a6cf3a1404a3ba6b1cdb2fed93e17642e

Observation d7beab51-1c20-4a23-bd74-e9f6cab62b63 · outbound

This paper cites Explainable artificial intelligence (xai),.

Uncheatable Machine Learning Inference Explainable artificial intelligence (xai),

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:23:21.472280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:23:21.302178Z digest=sha256:aed89b5058b4f9ed87e0787449187173dd6d4e3240d21fec826f13cd4d258497

Observation 9cd925fa-75fc-4256-8239-248c352cf72d · outbound

This paper cites Generative adversarial nets,.

Uncheatable Machine Learning Inference Generative adversarial nets,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:23:21.458243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:23:21.306148Z digest=sha256:074bce84b845f94bdba96f363b1f661ea838e374fcffae87fb214de77e3c3d35

Observation 8f57a762-f9f0-49c9-8a93-1624cc1674e2 · outbound

This paper cites Tensorflow: A system for large- scale machine learning,.

Uncheatable Machine Learning Inference Tensorflow: A system for large- scale machine learning,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T14:23:21.310530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:23:21.310530Z digest=sha256:339c5166d3529817a30f877d7d75b672391f52583d1f37270622fa794e636506

Observation 888f9df2-1251-477f-a497-815188fd37e5 · outbound

This paper cites Automatic differentiation in pytorch,.

Uncheatable Machine Learning Inference Automatic differentiation in pytorch,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T14:23:21.314789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:23:21.314789Z digest=sha256:952e4b76a71e1b9a284ee86a1486afb0849b92c21c4d8e813d12c9079c5ae6aa

Observation 6f996031-76db-4264-a862-30600e26e11d · outbound

This paper cites Caffe: Convolutional architecture for fast feature embedding,.

Uncheatable Machine Learning Inference Caffe: Convolutional architecture for fast feature embedding,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T14:23:21.321657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:23:21.321657Z digest=sha256:a8e178d2d1aa474425f0eeb5b89713f9df2609cb7a6e978b89133cd8d2c555b9

Observation 61d3c6f5-87fc-499e-af29-87b803400da6 · outbound

This paper cites Hyperledger fabric: a distributed operating system for permissioned blockchains,.

Uncheatable Machine Learning Inference Hyperledger fabric: a distributed operating system for permissioned blockchains,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T14:23:21.326458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:23:21.326458Z digest=sha256:a4ebf5e3d3c1eaefe54fe51b7e6b249764958576fc1ffaea0ede06a4e5da4889

Observation d97ef038-db38-4bc2-907f-fd36d4d75f63 · outbound

This paper cites Architecture of the hyperledger blockchain fabric,.

Uncheatable Machine Learning Inference Architecture of the hyperledger blockchain fabric,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:23:21.413334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T14:23:21.330694Z digest=sha256:8c76f1cd0122e8ea1c2e14d6787ecc4043617a8e46e2e0e02e8e09e918e02b63

Observation a814d61b-ac17-4e0c-bad7-dd73904e9127 · outbound

This paper cites Practical Black-Box Attacks against Machine Learning.

Uncheatable Machine Learning Inference Practical Black-Box Attacks against Machine Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T14:23:21.335475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:23:21.335475Z digest=sha256:01ec125265097afc7ae1acb22cc37619ac3ccf78998633f1f9233565152e98bb

Observation 4235d611-08c8-4618-b7e1-bd88e2a34650 · outbound

This paper cites Adversarial examples in the physical world.

Uncheatable Machine Learning Inference Adversarial examples in the physical world

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-14T14:23:21.340760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:23:21.340760Z digest=sha256:3478f0161855fb490b652ffaad973a50d2f48b9e7e788bdcd9d63217d8a33a9d

Pith citing papers

No inbound Pith citation observations are available.