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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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:daf453ff9f8121b24bd1ec4b630256cbce2b2086bbabd6ece588f739fe1430a3

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.188514Z digest=sha256:9e8c9448063f143d68ca6ceb33e792605e0cc9d50d44869d82ab1c1ffceac64d

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=sha256:4005f55d5d99157fc05d83a4081ddaaf3387aabf93235fe549f479d1a7c2138f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.198256Z digest=sha256:e49146bdc4d474f0a9bd7736f2ef9197e404aed2d5540bbfafec0b75de3798c8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.202881Z digest=sha256:f59b1160be9b26819a73f6dc94e5178ab3ce6e5ba7a23a9468d856961ef1d6f9

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.208700Z digest=sha256:a6157c809be2c83d7b5ba9497691125947cf3db07bcd51321c1eaacaf11dac80

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:a63a2c14615c35b393144d0fa993f77a87efecfb748ff9f1ac7e51514a3e18ad

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.218056Z digest=sha256:50f8b7ad190f86f5a02a13505eda1449264634215049d5b9d95a53478d5f795b

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=sha256:4fa56754fbe54fd36b5e46d1d3cedf031fbb4e74bbffc00963266380290dfb0b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.226762Z digest=sha256:73cf608301772d36347839854219cf4ca4cfb7bf05576b0f68dcfcea32e07eda

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.231061Z digest=sha256:eda7d725a43aa346ca9fac6b9d2b2aa8e77bc8c21d0a39ecc0a14558554f4c3a

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.235287Z digest=sha256:fcc10932966a229c67e8c583196afdc2dbe8e50de4e905354af42605d0886d10

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.240086Z digest=sha256:bfc73c5edcbc3620fb45ecd6b8216b294f24b57a78f0821f16f004cc0835198b

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:cb5efbd110dbf2c3ec3e9d80aff0f6f14f00eefe3530288df2481b359c80b524

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:b75b03f4e52bfcd0e70b2966dbedb3bd85f675bd2b98ec0c324962cc35b68199

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=sha256:4e946c62ed9ae2b6b69cf879dd06c5a780b29847fe450af589d46a7b876b8539

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.257011Z digest=sha256:a90b120aa9905be8a0b3266803f86371b7a8cb8a490d1625d32c095d67e5446f

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.260706Z digest=sha256:c19954997fb1d045319ccba740b7fa0551e0cae6a0dd41f0ee168de5ecf35a86

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.264798Z digest=sha256:42a09dbb049d30cd819313db6a24087e2a4d88d0eb274559b2759675ad2f803b

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.269303Z digest=sha256:37758fea728782cb812d15f08d6c53f83215d3ff61783aae096c0089bb864ada

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:b1c9ce14fc53c75fe59122f936558772b5618e3e3e42bb042f7d26e957df4cd1

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=sha256:9685cced440bc0d7614c8f9f16a8a3da6b3255d080eb54a9070a90a1eeb0cc80

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.291793Z digest=sha256:bc228b045b3c530a9d0ec6c7163809a3044f0060e42fdb4e1cec4e88beac8286

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=sha256:343678e8d209b1f77d4cccc2d4b3591e8c428521295ec48343435b092df07e76

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:eb97c205ee65a4c266add7999c1e6e29828b270860ff6d24d868ee04332aee40

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.306994Z digest=sha256:2b967c1a681e733758fe33cdc34b542fed07be0d7496451d09fd3347cec4a999

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:df263febf640c6fee3f9acd5d7908f523da7d63363c0ffc09815a7b31786cac0

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.317741Z digest=sha256:1895529da953614baadae0e6b59439852ea043a6cfab629d5dad92723adc8be8

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.326121Z digest=sha256:986e70fd7d1775e512a3a805fe98adebe128e1436dff5985d4c6f3110f7dab06

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.332044Z digest=sha256:4d7ce34e8e5770acd855ccf6405680bb792bc688bb94627d6483c8bec66f5295

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.337572Z digest=sha256:0fd8a4b939eb45cc2d3faf3f260f38118cc71a75537efc5054195d8d49b18a75

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.342829Z digest=sha256:3ebc2c23e1ff6d902f8c27707f13bd888e70ca17aac06e7a5b9332927e5044cd

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.347169Z digest=sha256:b72c6e938cf0c84bc94ebe2c646e2ebc23b300f0c7ba49f88d01e3776999111e

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T11:02:29.351445Z digest=sha256:6ebbc5b8d9188e1dafa4b2092957f39ee111d49f7574c8398dbfe7ebe2a8586a

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=sha256:9593d031c2679fbadd44b71a32d6065d96d73b0c1f1212fdef68f0a430720056

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:f8f610a84131fb67e0acdc8de8c72cfefe3e6a76c83e3ad7f246172c7b5c8d31

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=sha256:814aed18f2e832167c63ca5ee876de49eb38b090b28baad375dff8a057edfc33

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.