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Paper Citation Record · LEDGER

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning

As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.13273.

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

pith.paper-citation-record.v1
2506.13273 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:00.336257Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6bf36729-f13c-4103-ad25-0ff47a4a568f · outbound

This paper cites On testing non-testable programs,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning On testing non-testable programs,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f805fbd5-d7dd-4967-a4b8-b16456336f4c · outbound

This paper cites The oracle problem in software testing: A survey,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning The oracle problem in software testing: A survey,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1b0dfae0-494e-419e-96f8-cf94a96ae998 · outbound

This paper cites Novel applications of machine learning in software test- ing,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Novel applications of machine learning in software test- ing,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation d7b1043b-5140-4e64-8d37-663cb11890b0 · outbound

This paper cites Bug characteris- tics in open source software,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Bug characteris- tics in open source software,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 7b406a06-dc98-41c6-9dcd-837c9420a290 · outbound

This paper cites Human-in-the-loop automatic program repair,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Human-in-the-loop automatic program repair,

Reference 5

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b240b100-845d-4bcb-b743-752adf44f960 · outbound

This paper cites Human-in-the-loop automatic program repair,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Human-in-the-loop automatic program repair,

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ac30fe20-d7fe-4722-ae25-85bc679eab70 · outbound

This paper cites Human-in-the-loop oracle learning for semantic bugs in string processing programs,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Human-in-the-loop oracle learning for semantic bugs in string processing programs,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 10ac5a52-161d-4e94-8d49-76b8eb319e8c · outbound

This paper cites Agreeing to disagree: Active learning with noisy labels without crowdsourcing,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Agreeing to disagree: Active learning with noisy labels without crowdsourcing,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ec7d7c50-6df0-4454-a070-0b9155656f38 · outbound

This paper cites Codeflaws: A programming competition benchmark for evaluating automated pro- gram repair tools,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Codeflaws: A programming competition benchmark for evaluating automated pro- gram repair tools,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation de8bcbec-c8d5-4e83-b5a6-bca4b62c59d0 · outbound

This paper cites Active learning literature survey,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Active learning literature survey,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4425bd09-2840-4d5a-8dfc-45e3d7b664f3 · outbound

This paper cites Fuzzing: State of the art,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Fuzzing: State of the art,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0a27a269-7b18-470d-b1a8-bf02c195c748 · outbound

This paper cites Bidirectional active learning: A two-way exploration into unlabeled and labeled data set,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Bidirectional active learning: A two-way exploration into unlabeled and labeled data set,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e04d30ca-b931-4dc5-a039-94bf9d5950f3 · outbound

This paper cites Confident learning: Estimating uncertainty in dataset labels,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Confident learning: Estimating uncertainty in dataset labels,

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ca06aea8-6140-4e1c-8a96-711c6532bcdd · outbound

This paper cites Qactor: Active learning on noisy labels,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Qactor: Active learning on noisy labels,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation abbd05c7-27ac-4e38-ab5d-796687cb38f8 · outbound

This paper cites Stream-based active learning in the presence of label noise,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Stream-based active learning in the presence of label noise,

Reference 15

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raw_fallback, observed 2026-08-07T00:41:06.710747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a5089fea-f370-4d21-bfc8-2597fe7ce977 · outbound

This paper cites Active Learning for Noisy Data Streams Using Weak and Strong Labelers.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Active Learning for Noisy Data Streams Using Weak and Strong Labelers

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 53cc5a27-ca49-4610-8b96-2b7f588e2caa · outbound

This paper cites Active learning for data streams: a survey,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Active learning for data streams: a survey,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1ed90426-5caa-4807-9e2a-bca7dd89f4fb · outbound

This paper cites BoostClean: Automated Error Detection and Repair for Machine Learning.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning BoostClean: Automated Error Detection and Repair for Machine Learning

Reference 18

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Observation 74cf4b38-c76b-4035-ad9d-bbdfabf02f73 · outbound

This paper cites B-repair: repairing b-models using machine learning,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning B-repair: repairing b-models using machine learning,

Reference 19

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 956d9718-8fbf-4beb-a2fa-70573860fe86 · outbound

This paper cites Hybridrepair: towards annotation-efficient repair for deep learning models,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Hybridrepair: towards annotation-efficient repair for deep learning models,

Reference 20

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9dc065d8-efb7-4a37-ab3f-c709215cda36 · outbound

This paper cites Deepgini: prioritizing massive tests to enhance the robustness of deep neural networks,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Deepgini: prioritizing massive tests to enhance the robustness of deep neural networks,

Reference 21

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e17ac1f6-d08b-497a-a804-bbb25d67f94b · outbound

This paper cites Deep learning for visual understanding: A review,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Deep learning for visual understanding: A review,

Reference 22

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 8ecf8841-d680-4129-a641-6630b8377241 · outbound

This paper cites Automatic model repair using reinforcement learning.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Automatic model repair using reinforcement learning

Reference 23

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raw_fallback, observed 2026-08-07T00:41:05.757069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 869f518f-dc07-4fc6-a2ff-abf6ed934b5a · outbound

This paper cites The art, science, and engineering of fuzzing: A survey,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning The art, science, and engineering of fuzzing: A survey,

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a682c2bc-2dd3-41cc-87cc-13554ba3d678 · outbound

This paper cites A divide-and-conquer method for multi-net classifiers,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning A divide-and-conquer method for multi-net classifiers,

Reference 25

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4b9d33dc-6649-4f08-b6c6-34c244ad96cb · outbound

This paper cites Automatic software repair: A survey,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Automatic software repair: A survey,

Reference 26

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5cc54b4e-fa8d-4896-844d-62f99cf744d7 · outbound

This paper cites Classification based on decision tree algorithm for machine learning,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Classification based on decision tree algorithm for machine learning,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 75a0b460-7c35-484c-940c-9d43407fbcb1 · outbound

This paper cites The ManyBugs and IntroClass benchmarks for automated repair of C programs,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning The ManyBugs and IntroClass benchmarks for automated repair of C programs,

Reference 28

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metadata mismatch
raw_fallback, observed 2026-08-07T00:41:02.795184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b20efbe8-91ca-4e78-9be4-1146933ae649 · outbound

This paper cites Pair programming: what’s in it for me?.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Pair programming: what’s in it for me?

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3ae8b3f4-4558-44c8-ba06-d6760a60d2a7 · outbound

This paper cites Semantic program repair using a reference implementation,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Semantic program repair using a reference implementation,

Reference 30

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raw_fallback, observed 2026-08-07T00:41:04.961424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:40:59.991170Z digest=sha256:4a813e2883a8582941bd774e60ceaaa83c494e90c9ce04c2b9a05c0ce032372a

Observation 89095b91-2ac9-48eb-b1ff-4e521889f45b · outbound

This paper cites Angelix: Scalable multiline program patch synthesis via symbolic analysis,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Angelix: Scalable multiline program patch synthesis via symbolic analysis,

Reference 31

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raw_fallback, observed 2026-08-07T00:41:04.867650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:41:00.073255Z digest=sha256:04112c8405b22aa68bafbaee86cb5ee78e70365c6651be01a1c075d4dee8393e

Observation eae2d29d-facb-4de4-92fa-4ec424453649 · outbound

This paper cites Genprog: A generic method for automatic software repair,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning Genprog: A generic method for automatic software repair,

Reference 32

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raw_fallback, observed 2026-08-07T00:41:04.640222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T00:41:00.176196Z digest=sha256:d2aeb75ac8c3bda7ea2719ae7574772b8d0e9605abe8d577d0dee76fe6cf944b

Observation f226b2e7-8211-46c9-8e6c-a473941373c5 · outbound

This paper cites A survey on software fault localization,.

Isolating Noisy Labelled Test Cases in Human-in-the-Loop Oracle Learning A survey on software fault localization,

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:00.336257Z digest=sha256:281caeb1644dcbaadd66d93b40167345de639f1fb0c45477b21b399dce825f18

Pith citing papers

No inbound Pith citation observations are available.