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Paper Citation Record · LEDGER

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2501.16751.

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

pith.paper-citation-record.v1
2501.16751 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:02:29.376817Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9453e9ef-f60c-446b-8256-cca7ed59d287 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.182907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.182907Z digest=sha256:b4ff8286e9ad7bf77127397be708fa5858f3ae3376f8c6b79a8ad99d83ac5b45

Observation 986eb19b-095e-4a36-be0f-ecd750a1da7a · outbound

This paper cites On a routing problem.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging On a routing problem

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.223686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.188514Z digest=sha256:a478b60437594cc918da7217254a12fd4dc5f6ceda80e060cad3927ca78d4c3f

Observation a50c3bda-3315-4c2b-826e-4388c8cd4ad4 · outbound

This paper cites Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.192696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.192696Z digest=sha256:58a076730bba362316f1d82273fef0f8dc05a800daec49016c68cafb300b8c4c

Observation cb2a1717-9fdc-40b9-a423-291d2659a4ec · outbound

This paper cites Gender shades: Intersectional accuracy disparities in commercial gender classification.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Gender shades: Intersectional accuracy disparities in commercial gender classification

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.207014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.198256Z digest=sha256:22bfd27e376db73925f6be4fa036a55b3f88a6745cde9b755bf9322c4dc0bf4b

Observation 670e8e73-398d-4799-90d1-11b7385004b4 · outbound

This paper cites Ovarnet: Towards open-vocabulary object attribute recognition.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Ovarnet: Towards open-vocabulary object attribute recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.184063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.202881Z digest=sha256:ac2324dba78d58bd8c5b3efbd15d33e8a86408e0a5ed314972ea541c1a6a2bf8

Observation 36b193f5-4f27-445b-bc9f-5b589d9a4dbe · outbound

This paper cites Hibug: on human-interpretable model debug.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Hibug: on human-interpretable model debug

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.158279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.208700Z digest=sha256:db286e3359c3ab7cd7829506ec190719eab1e0e87c121ad30e11150e3dd60edc

Observation 086fe9f7-ba55-40ed-8546-4d741f05c70d · outbound

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

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Imagenet: A large-scale hierarchical image database

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.213918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.213918Z digest=sha256:42b727d719f73c4e032c36b5ce90904ed137e4bd8df93ccc5db9e078f31fb183

Observation 17966da3-9add-4794-aa9e-2a363d21b2db · outbound

This paper cites The spotlight: A general method for discovering systematic errors in deep learning models.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging The spotlight: A general method for discovering systematic errors in deep learning models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.106159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.218056Z digest=sha256:524362713de3b77e991e3c1ce3bea886b939c3cfbb6860203bcaa500a5a58c6b

Observation 8afe7b6a-95e4-425f-be13-7fbd83cf00e6 · outbound

This paper cites Domino: Discovering Systematic Errors with Cross-Modal Embeddings.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Domino: Discovering Systematic Errors with Cross-Modal Embeddings

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.222167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.222167Z digest=sha256:c06fdb9c91f6914d0fbe90764646bfa482201fd5b3f76f267f40fd414ac06770

Observation dedc3ce1-f952-4509-ba85-c098f9ba0dd9 · outbound

This paper cites Deep learning-based image recognition for autonomous driving.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Deep learning-based image recognition for autonomous driving

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.080056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.226762Z digest=sha256:beab52590d3c6c9cde903dfb1c16f5d38ee7a579ec81ffc7c7f15fec7e2fe9f9

Observation 852194ce-d77c-4a4e-84a6-def8720ac8f7 · outbound

This paper cites Adaptive testing of computer vision models.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Adaptive testing of computer vision models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.063143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.231061Z digest=sha256:e79063d5adb9235c3e2849a536e551fed5a2d08fd8967e074454d635f14a273a

Observation 2d2f7eb8-eca3-452c-ac15-007a88621183 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.049801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.235287Z digest=sha256:39af5283ca100e9ccfac721cd8718fa4f2bf447137eb5331b282c297dfba9fd4

Observation 69d65cea-77f9-4445-bf86-31b2b0ff6b5a · outbound

This paper cites Machine learning in medical imaging.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Machine learning in medical imaging

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.036970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.240086Z digest=sha256:e201d281fa44d0b881c978b1c0cbd71afcb126662c4afef54dc14bc58f8f4cc9

Observation f91a4a79-06cc-49f8-912b-2993b1d51d7d · outbound

This paper cites Deep residual learning for image recognition.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Deep residual learning for image recognition

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.243910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.243910Z digest=sha256:06e8f37f4b89efff57bd63214d6eb6952ef49f65a019259187f4a4ef1bc3345e

Observation 61024b11-5cf7-49f4-bd27-ecf80f02f15f · outbound

This paper cites Distilling Model Failures as Directions in Latent Space.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Distilling Model Failures as Directions in Latent Space

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.248240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.248240Z digest=sha256:5b8bc020c0090519695954dad9e3aa1d3028f162ebda17d8553b1df9c8e716c8

Observation 402d27b0-ad88-4db7-ac5e-f879734c9481 · outbound

This paper cites RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.252535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.252535Z digest=sha256:c6cdb2cffca6d1b1a12807f3af4219b80716f2c1b9cfd0e435ad1369da7c0525

Observation 05737532-3df2-45b2-9c33-9874cf6e791b · outbound

This paper cites Where does my model underperform? a human evaluation of slice discovery algorithms.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Where does my model underperform? a human evaluation of slice discovery algorithms

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.014976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.257011Z digest=sha256:bc98da14352846ecda6d5010d02d11d314c47ff75693ea67eb22a98c88dabd82

Observation e4d453e1-e7e7-44b2-a8dc-d3aa7435828a · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:30.000105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.260706Z digest=sha256:37b821dab26dfef9ddf900dbefde70ce6ae540160ff0a74ef81cba9064992bb3

Observation 790237f9-a089-4fd9-bcbf-9774c9d4fe2e · outbound

This paper cites Exploring plain vision transformer backbones for object detection.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Exploring plain vision transformer backbones for object detection

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.984728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.264798Z digest=sha256:0fef682aaca45507e082181c733e318d806026105e96955f968f43fc17a95e17

Observation 3bad473c-b437-41fa-bd9c-50e9d5828fba · outbound

This paper cites Aide: An automatic data engine for object detection in autonomous driving.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Aide: An automatic data engine for object detection in autonomous driving

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.969468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.269303Z digest=sha256:7ba395f4464a3281d15c8123ec223d3ae6cdfdccc43091c54b0740f12c663df0

Observation 0d827bd0-3302-468d-8bc5-dbe060b2a607 · outbound

This paper cites Visual instruction tuning.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Visual instruction tuning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.276260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.276260Z digest=sha256:63c6d6e259606983ef0ec806d07a199a9a344c884bed73dea152655d0fa0d5f6

Observation 47894bc5-d05f-439f-8454-32ac9e6a7f05 · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.286825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.286825Z digest=sha256:61d3785d96caedc05b9dda75b49432a91dfe1a1db82489f7b67365a74d4855a0

Observation 31fded6b-6893-4bfe-87a3-72bfbc7fc4bc · outbound

This paper cites Identification of systematic errors of image classifiers on rare subgroups.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Identification of systematic errors of image classifiers on rare subgroups

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.945509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.291793Z digest=sha256:315848f6091a2163fb2c779a98ada8bd3e080c7ef06804cbd8b33f02377a729e

Observation 1e4ad1f5-b7c0-4f4b-8dcf-e7aa7b91d7ff · outbound

This paper cites GPT-4 Technical Report.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging GPT-4 Technical Report

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.296345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.296345Z digest=sha256:49442cf4bb666a3776d842dfcea3935165b68ffae17b478b7f4aa6ff19e332e2

Observation 95e37ecc-b477-4ace-8fae-b435595d0334 · outbound

This paper cites Learning transferable visual models from natural language supervision.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Learning transferable visual models from natural language supervision

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.301554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.301554Z digest=sha256:1ca8d18cd925274fe2ae9fcf2cb825bf0d18b9efe03085eb78f9d991c16bdb58

Observation 7d9ea1e9-e00e-4f81-b34a-ad4dfdc01a86 · outbound

This paper cites Sliceline: Fast, linear-algebra-based slice finding for ml model debugging.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Sliceline: Fast, linear-algebra-based slice finding for ml model debugging

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.905822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.306994Z digest=sha256:17bc1dfbe69f1a3c055b8e27cdc763be460cec642a5fbc8effa81a83b75fffcc

Observation 0a392492-dc5c-4127-960f-1f212a12c8c4 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.311448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.311448Z digest=sha256:da77f7029327a9c8d5b79156027d229c8312f0ff732aeb371ceb8a2f2ee71d21

Observation 0d916519-eb0b-4e00-bc5b-3390c39829bd · outbound

This paper cites Vlslice: Interactive vision-and-language slice discovery.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Vlslice: Interactive vision-and-language slice discovery

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.866236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.317741Z digest=sha256:15b487a36a809e14fa4de7b3ce23ba62dee1da38630c76f6dba0b9657d967372

Observation e9b2d048-aa95-4017-90dd-0159d2b49481 · outbound

This paper cites Yolov8: A novel object detection algorithm with enhanced performance and robustness.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Yolov8: A novel object detection algorithm with enhanced performance and robustness

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.832993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.326121Z digest=sha256:27118526f27ecfaf706cd7057027ae79150083eb4d878fd071d20757c2a67daf

Observation 43e933f8-1704-4be4-ba36-bd88d7e4f8b5 · outbound

This paper cites Learning concise and descriptive attributes for visual recognition.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Learning concise and descriptive attributes for visual recognition

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.817227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.332044Z digest=sha256:eb5dfda093419285e6667edc0cd213ed6a40c1a5562e5d62dfa9981cd33e738f

Observation c6ecacbb-af68-4dfa-881c-97a0f12a91cb · outbound

This paper cites Language in a bottle: Language model guided concept bottlenecks for interpretable image classification.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Language in a bottle: Language model guided concept bottlenecks for interpretable image classification

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.802312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.337572Z digest=sha256:f71cce6ab5c21fef7e1850885328c3869294b21ff15515f399409b43ff2df90d

Observation a4e29d4f-90b6-4e39-b359-36476c6a5234 · outbound

This paper cites Facts: First amplify correlations and then slice to discover bias.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Facts: First amplify correlations and then slice to discover bias

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.788867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.342829Z digest=sha256:3bac59253b661c9271993e346b74f8bc3462eb468b4d3c2076d83daac9425255

Observation cbeef0ab-218a-45c9-b500-42b47f54b9ed · outbound

This paper cites Recognize anything: A strong image tagging model.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Recognize anything: A strong image tagging model

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.769477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.347169Z digest=sha256:10172f56883602d58f5eaa3d0d1d7607f4b6427ef883b574fd71c175e37f4a84

Observation 503856d9-32c8-4d2c-973e-722094291f96 · outbound

This paper cites Detrs with collaborative hybrid assignments training.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Detrs with collaborative hybrid assignments training

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:02:29.754575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.351445Z digest=sha256:5b37e8c31a93f3a401d7f039c75985b79d2d3fff9699eec2ed44b086d8be50cd

Observation dc25f330-e2ee-497c-acf4-4778ad6a3543 · outbound

This paper cites write newline.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging write newline

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.356265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.356265Z digest=sha256:1c14b01687eb719bddedfb5075231b9a34936ecf28dc9e815a8e6a6d504d9374

Observation 83333039-624b-4f98-934c-eb86cf25759d · outbound

This paper cites @esa (Ref.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging @esa (Ref

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.363816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.363816Z digest=sha256:1dc29abb2735b32c61acb3f6ee846c3f8991fb544eecc0b15b9590f51f9cdeb9

Observation bf358d31-8e1a-441d-b4ea-d4e489a4af9c · outbound

This paper cites an unresolved cited work.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.368527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:02:29.368527Z digest=sha256:159e846dd19d9eda2389a341eb804dcdc544b5c402261134642908eb7742ccf5

Observation e54ff8da-7ff2-4b45-9b5e-525f0b632875 · outbound

This paper cites main object.

HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging main object

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T11:02:29.376817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.