Pith. sign in

Paper Citation Record · LEDGER

ADEPT: A Unified Framework for Deep Learning Test Adequacy

As of 22 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2608.12144.

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

pith.paper-citation-record.v1
2608.12144 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:15:54.443373Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

20 of 20 outbound references displayed

  • verified exact5
  • verified fuzzy1
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eac175eb-b7ad-4f4b-9d0a-7c7492720438 · outbound

This paper cites 2008.Introduction to Software Testing.

ADEPT: A Unified Framework for Deep Learning Test Adequacy 2008.Introduction to Software Testing

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.361599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.361599Z digest=sha256:c787ca8c9b21472fefa7d30ad3ec379a3093245bca7301ca994e8bd2748a504f

Observation e2f08850-afe4-4285-a71e-da77cfa90bee · outbound

This paper cites Dwyer, and Mary Lou Soffa.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Dwyer, and Mary Lou Soffa

Reference 2

Resolution
verified exact
doi, observed 2026-08-16T00:15:54.510137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:15:54.366565Z digest=sha256:fd7fa626b372770657d7b3887d7ee02e63590298e2c683aef4bc2ec515b49aa7

Observation 5a8b6f9a-f93a-41af-a470-7dca627437bd · outbound

This paper cites Burgess, Xavier Glorot, Matthew M.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Burgess, Xavier Glorot, Matthew M

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:55.155776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:15:54.371181Z digest=sha256:12978b7ca00e7c8036b0a20870a34944180f648bb5b0dd967451a82540ebcf44

Observation b3f60b49-fec4-4523-af65-8d51651aca6f · outbound

This paper cites an unresolved cited work.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Unresolved cited work

Reference 4

Resolution
verified exact
doi, observed 2026-08-16T00:15:54.495801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:15:54.375347Z digest=sha256:184c2ef2ff265669201dbcbfee31edfbc6c51c40bf3db6bbb7a45a59199612c1

Observation c610748f-908e-4acb-896b-587599c9fa20 · outbound

This paper cites an unresolved cited work.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:15:55.142054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:15:54.379499Z digest=sha256:7ce7fdcafb031c22d33e418c2b4d2ec1b92146c7c9073b632b76effe9efefd5f

Observation ef145727-1afd-4f27-b1e9-575782601428 · outbound

This paper cites an unresolved cited work.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.388013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.388013Z digest=sha256:5924257a1510a9c430c0f7f93720150106a7dd87c7f8bc4648e199d731f42273

Observation d6dfbae5-547a-4e17-b20b-3bf4153738f1 · outbound

This paper cites an unresolved cited work.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Unresolved cited work

Reference 7

Resolution
verified exact
raw_fallback, observed 2026-08-16T00:15:54.974202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:15:54.392260Z digest=sha256:7e161fa832cf788fd5bd0fa4b0ca6e80d25d185e0cce108343ccc2fe2413c750

Observation 94d834be-1b1f-429d-be9c-bc5f6006f190 · outbound

This paper cites Guiding Deep Learning System Testing using Surprise Adequacy.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Guiding Deep Learning System Testing using Surprise Adequacy

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:15:54.904758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:15:54.396173Z digest=sha256:75fe7936f207f56fa74dd07ffa225ca99f221dc1ad8ba70509c00dc316fb9460

Observation 70f57b03-f3b2-41f8-87f5-2e094abd52be · outbound

This paper cites Auto-Encoding Variational Bayes.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Auto-Encoding Variational Bayes

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.401179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.401179Z digest=sha256:df6eacfec31bd2ca0df802f5c4a85c7fce9ab0dd269811c3958851456da317cd

Observation 6de8a6e9-12e2-4942-996c-ab07d34dbbcf · outbound

This paper cites an unresolved cited work.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.405620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.405620Z digest=sha256:55df24ef26f033fae186c0cfebf6bd42e4f099cf7187aebcf00dca38d44c21ab

Observation e863f288-8a01-4300-ab7c-ce369af51754 · outbound

This paper cites an unresolved cited work.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.409825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.409825Z digest=sha256:d740c064ca0862c79169b22dd3f80859a215bc66f9051539fba05a0817a14f5d

Observation 5432ec5b-37cb-447a-9c25-33c839b5a1df · outbound

This paper cites DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems.

ADEPT: A Unified Framework for Deep Learning Test Adequacy DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:15:54.814166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-16T00:15:54.414213Z digest=sha256:9babe7a5070f9594e3c2379cff18f0f1378384822826f2cfacd5c16e42e0bf34

Observation 93d137ef-a701-41ae-b0b3-afed27349f20 · outbound

This paper cites an unresolved cited work.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.418948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.418948Z digest=sha256:1d915f2eb0e888d46e3711296be32a1192b78822ba01ead40509e1c15f8827eb

Observation 94e8a54f-3667-44aa-a012-56c33a3cc8fe · outbound

This paper cites an unresolved cited work.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.422767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.422767Z digest=sha256:09eaa60d26182231f41df4da147ddbf6ab627f353f35098f8a10b5c80f6e42b7

Observation d4e6127c-8371-4b55-9a65-7295ba0fb834 · outbound

This paper cites DeepXplore: Automated Whitebox Testing of Deep Learning Systems.

ADEPT: A Unified Framework for Deep Learning Test Adequacy DeepXplore: Automated Whitebox Testing of Deep Learning Systems

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.426462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.426462Z digest=sha256:7eff416548db9d1b6e25be45a1de3621aeb84fa115e5f2b0046ae5a9ff06c8a7

Observation ba46d08e-daa2-49d8-8cc7-fc607dd57e2d · outbound

This paper cites an unresolved cited work.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.430683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.430683Z digest=sha256:69757a110101a0c8132f05b6431f2a7028ab98c9cae37aa15cccdc7885500b5c

Observation 8dbb0ee7-a58c-4bd9-9094-3b82536d2f74 · outbound

This paper cites Testing Deep Neural Networks.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Testing Deep Neural Networks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.435030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.435030Z digest=sha256:f5233f5f8fa385c08e13fcdbadb9443fd252ad87cef07081178ee7d8ee1cab97

Observation 50c3f31e-41f7-4034-ab52-6907b6254cbc · outbound

This paper cites an unresolved cited work.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.439332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.439332Z digest=sha256:2589bf3452b76ca4b549a93216a6b2000607e01b7dda464e1348de56adfe9d6e

Observation 7ddb6e4d-7013-4abc-8a3f-3a0a2ad325f8 · outbound

This paper cites Zhang, Mark Harman, Lei Ma, and Yang Liu.

ADEPT: A Unified Framework for Deep Learning Test Adequacy Zhang, Mark Harman, Lei Ma, and Yang Liu

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.443373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.443373Z digest=sha256:efb361d2155ecd3bd24fee138fbdfc1b4c5390911221fbbfa48531c38f8b5734

Observation 4b58631f-0052-493d-a8a1-260bc786aa0e · outbound

This paper cites In34th IEEE/ACM International Conference on Auto- mated Software Engineering, ASE 2019, San Diego, CA, USA, November 11-15, 2019.

ADEPT: A Unified Framework for Deep Learning Test Adequacy In34th IEEE/ACM International Conference on Auto- mated Software Engineering, ASE 2019, San Diego, CA, USA, November 11-15, 2019

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:54.383596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:54.383596Z digest=sha256:8688b3ca91748633d4bc1efe20baaa04148ac0e4ddd43a6c6a3db3c022543fc1

Pith citing papers

No inbound Pith citation observations are available.