Pith. sign in

Paper Citation Record · LEDGER

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.02967.

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

pith.paper-citation-record.v1
2608.02967 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:27:33.066312Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2079c2c3-c9d4-4939-a4fd-6cb34a252772 · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.871571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.871571Z digest=sha256:ee0a6ec26138104f74a0f53f3a4718687437f0d5d8f734d51a15125a8270c343

Observation c355d69d-fe50-431c-b158-6117c2f481ff · outbound

This paper cites Classification Problem Solving.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Classification Problem Solving

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.876987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.876987Z digest=sha256:13f7a16c8919a29001451c5aa6674dc4bdcc9ee8e943ef92b2ada6bc481e5d74

Observation 9cfe5ea4-4ef7-46e6-bd0d-949861612e16 · outbound

This paper cites , title =.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization , title =

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.883502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.883502Z digest=sha256:e06a8de32a94ed10439d6981fec6176c32fd3f0f4617fd0a312abbc24c9eea3d

Observation cc2d3769-dd56-4ab4-89b7-4fc463080411 · outbound

This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization New Ways to Make Microcircuits Smaller---Duplicate Entry

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.888542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.888542Z digest=sha256:d075cb99000813f5b39fa73ebd924c0c385b8bed33d7f14ac9c4bcd72a75a282

Observation 41109621-ae29-44d7-b9d4-aea2079459a0 · outbound

This paper cites Clancey and Glenn Rennels , abstract =.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Clancey and Glenn Rennels , abstract =

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.893762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.893762Z digest=sha256:ae6f34a7145ff9ef7b41f4850d17cac315e457ded7736089e4dcb79d21e90437

Observation bc185cc5-c2ff-4c63-a687-2897ada836f9 · outbound

This paper cites and Rennels, Glenn R.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization and Rennels, Glenn R

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.899286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.899286Z digest=sha256:28692a28145fd9c2c186b56d2aa179f9923cc6da99d0eab695e306aceff059a3

Observation 3c97231c-b730-40e6-b37c-554125874243 · outbound

This paper cites Poligon: A System for Parallel Problem Solving.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Poligon: A System for Parallel Problem Solving

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.904214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.904214Z digest=sha256:bcb989cfd2d6dc1e30aee8376f945ad2d88618e8b18e744e22cb629105b748a3

Observation 70ceac35-1f44-430c-b1e9-2cbe0d70c1b7 · outbound

This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.909177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.909177Z digest=sha256:539a713a7387fa7c708b48bf7581d46311d6bdd7049cd58210f51214ba28c090

Observation 232bc7fd-7b21-483e-8c5c-333e8a5c9474 · outbound

This paper cites The Engineering of Qualitative Models.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization The Engineering of Qualitative Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.914391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.914391Z digest=sha256:85da83b5e147b106413718455c068d2105e67ef8b2adb163237925459322faa4

Observation 9c33d3db-b48d-4b94-8ab6-092c554970de · outbound

This paper cites 2023 , eprint=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization 2023 , eprint=

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.919214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.919214Z digest=sha256:a7086c56c50787323316e8ba79c004a302f9dda12e605320bba3486b1240c64b

Observation dcc7d9e5-d2f3-4181-a313-6f71627e2c6a · outbound

This paper cites Pluto: The 'Other' Red Planet.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Pluto: The 'Other' Red Planet

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.924086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.924086Z digest=sha256:561fc3bc4b89c4ef1d554fd348e2003904c7b4651aa03ada67cee58872d66083

Observation 6108decc-0311-4499-a763-d0c6d1a0ae14 · outbound

This paper cites Testing: Academic and industrial conference practice and research techniques-MUTATION (TAICPART-MUTATION 2007) , pages=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Testing: Academic and industrial conference practice and research techniques-MUTATION (TAICPART-MUTATION 2007) , pages=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.520362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.928643Z digest=sha256:65b941bc10428bebdebe8fb07541b128b25eb45aa9e5c25123695e3dc880cd47

Observation 663c5628-97e9-4de4-8dd3-7c3522ae19e0 · outbound

This paper cites 2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011) , pages=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization 2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011) , pages=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.505109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.933623Z digest=sha256:9932d10897b7b3098aaa3d86010235ffdc1721fd15df13243867370eea7db5f7

Observation a3951839-5f24-4937-ae4f-dd412485e0bc · outbound

This paper cites IEEE Transactions on Reliability , volume=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization IEEE Transactions on Reliability , volume=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.490414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.938752Z digest=sha256:75db26fa93ff5cf1fa97d3b273747d8ee4b01cc2c4bc461c7e9cc41a8234a847

Observation 9c8f3a5a-fe38-41bf-814f-4c512e070187 · outbound

This paper cites Software Testing, Verification and Reliability , volume=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Software Testing, Verification and Reliability , volume=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.474589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.943819Z digest=sha256:76a2e70141490c65d19bb4409fd9024e9f8bddef7b0e42d6e491ede20a4e7faa

Observation ad7d05fb-e437-453c-af62-159791877190 · outbound

This paper cites 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) , pages=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) , pages=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.457920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.948499Z digest=sha256:ef8d954865d7ebeb4ba016bb5d95e68a41765e9b4043a9e847bcde46f11bdf25

Observation 1f32c4ec-ac5b-45b9-813b-4027dfa00083 · outbound

This paper cites Proceedings of the 30th international conference on Software engineering , pages=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Proceedings of the 30th international conference on Software engineering , pages=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.442380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.952976Z digest=sha256:813bfd9e6081d47733ac934feb0b52233390476ee6903a171a919770ac8249a3

Observation 7d7450e3-a49f-4ffa-bea3-9dd8eec449ac · outbound

This paper cites Proceedings of the 2018 26th ACM joint meeting on European software engineering conference and symposium on the foundations of software engineering , pages=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Proceedings of the 2018 26th ACM joint meeting on European software engineering conference and symposium on the foundations of software engineering , pages=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.426553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.957530Z digest=sha256:0aa297ce84360a1e0ff890e4fb454c9db5e526a4469e07bf67ceea5309b5c400

Observation 507eede0-58eb-459f-900f-89243443e5eb · outbound

This paper cites 2014 IEEE international conference on software maintenance and evolution , pages=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization 2014 IEEE international conference on software maintenance and evolution , pages=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.411114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.962424Z digest=sha256:431ea8371c78cb5eb372b0b567aa32f1290dd0609dae0e0423b736550ea7677b

Observation bcb28f26-8cb7-4897-bfe5-2206660eb8e7 · outbound

This paper cites Enhancing IR-based Fault Localization using Large Language Models.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Enhancing IR-based Fault Localization using Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.967027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.967027Z digest=sha256:2d5b1f5baa7c08ca5853d134ad6011d5592d1167a8af29ea2e0075135fe31c1d

Observation d5192624-a979-4a6f-ae40-3c4d67f2e2ac · outbound

This paper cites 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) , pages=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) , pages=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.395751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.972038Z digest=sha256:d3f192f92c0c7447431eb093391bccd727ea6f35d6aa9ffe2bbfa3ea1609c87a

Observation eca16133-1f1f-47de-b51c-24a5b4fe72d3 · outbound

This paper cites SweRank: Software Issue Localization with Code Ranking.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization SweRank: Software Issue Localization with Code Ranking

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.976451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.976451Z digest=sha256:9fa7e09af00262ea33c2325a434c0a975479df748c8284208216b997b705fe91

Observation 98d4dbf1-9113-4124-aba9-089cea129e41 · outbound

This paper cites Proceedings of the 2023 conference on empirical methods in natural language processing , pages=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Proceedings of the 2023 conference on empirical methods in natural language processing , pages=

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.981469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.981469Z digest=sha256:dc75f873c903af3306838991e00d3c0702a0d998a1143b5b50e3b3e0296e5a70

Observation 80458840-3e56-4778-8613-a7fd1b63580c · outbound

This paper cites Code Representation Learning At Scale.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Code Representation Learning At Scale

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:32.986361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.986361Z digest=sha256:2ebc26325f30bdecfa5841247e84bbe5302c4d3214a13383b93de848f05c129b

Observation 1583e162-61a8-4fcd-8add-856c907853a9 · outbound

This paper cites International Conference on Learning Representations , volume=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization International Conference on Learning Representations , volume=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.370582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.991282Z digest=sha256:195ea8f28c5fe3b78a1acf5a5eb7031a794850c1bbbb046c5d6167822da26b65

Observation fd8adcfa-88bb-4a4c-8c89-013b28933d15 · outbound

This paper cites Proceedings of the ACM on Software Engineering , volume=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Proceedings of the ACM on Software Engineering , volume=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.355677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:32.995918Z digest=sha256:5424d876300c2941905663a6e12f469168ed3ba8a8be7794cf966e64f231ad28

Observation 0908e038-2233-4e47-baf5-3dba3cc11592 · outbound

This paper cites IEEE Transactions on Software Engineering , year=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization IEEE Transactions on Software Engineering , year=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.340663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:33.000743Z digest=sha256:622662e6f08a22495243a02617a275c7927c3a38b27e9f0267a90c36d52b1bce

Observation d9c3a15a-fa46-4810-a500-6ee7905b30db · outbound

This paper cites AgentFL: Scaling LLM-based Fault Localization to Project-Level Context.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization AgentFL: Scaling LLM-based Fault Localization to Project-Level Context

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:33.005446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.005446Z digest=sha256:0b7a549099d3b665806d81b7c956f15bb217e530f806cc1423ebb9abae1e79a6

Observation 024e4737-bbf4-499e-a8fc-64551402eebc · outbound

This paper cites C ode BERT : A Pre-Trained Model for Programming and Natural Languages.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization C ode BERT : A Pre-Trained Model for Programming and Natural Languages

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:33.010319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.010319Z digest=sha256:72eda5781710b69ae4070cd8b4924ffa8d461f91000d41925f0e8c2366149307

Observation 83b5fab9-309f-4af4-9172-d668ad9aaeec · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:33.015059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.015059Z digest=sha256:0a360e5a5b4e3ae5cf2b001eb714ebaac1ecd37ab966531156976b7a2af00c12

Observation e9763441-0dae-4c62-ab17-64dd2bb83c37 · outbound

This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:33.020045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.020045Z digest=sha256:b8df0fc4823adaa3c1bbe10e223330a89a1d7ab8c34412f2ad996386a5db5851

Observation 6828eac9-944e-4001-b76c-626de6fe24ae · outbound

This paper cites , author=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization , author=

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:33.024469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.024469Z digest=sha256:14219e960b1539538a706cbd94b8b4005cacb732143438db9e992f5014705c36

Observation d19cfa48-41da-4b53-8a0b-5a6b764dd92f · outbound

This paper cites International conference on learning representations , year=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization International conference on learning representations , year=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.306437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:33.028981Z digest=sha256:7f5ea1260cf592557dcb1db0e4e10a2b369be5771608ee2ac845c36b2ab390f7

Observation 3c894c66-368c-4116-99c0-2ad30acf4eb3 · outbound

This paper cites A dapter H ub: A Framework for Adapting Transformers.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization A dapter H ub: A Framework for Adapting Transformers

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:33.033389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.033389Z digest=sha256:15368f7889517eb5f37d3e3ec64548bd04e39bb71056b0651e5bc6807cb44abd

Observation f3f1c421-1c1d-449d-b9e7-b3e76444106c · outbound

This paper cites International Conference on Learning Representations , volume=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization International Conference on Learning Representations , volume=

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:33.038411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.038411Z digest=sha256:cbae70d21705e2628d546b1977233b11a9852d5fb9da35cf887750b686fbe133

Observation 08f5ca9f-7c75-4617-afae-a3a7ad0a03e1 · outbound

This paper cites 1994 , publisher=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization 1994 , publisher=

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:33.042973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.042973Z digest=sha256:585448114c65f75ba48de731ce90559d2892c3cef5c76ffdf0ad6e37376a6a8e

Observation 6d837076-bedd-4ede-af94-8e94bb2e5cc4 · outbound

This paper cites 3rd Workshop for Natural Language Processing Open Source Software , year=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization 3rd Workshop for Natural Language Processing Open Source Software , year=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.272028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:33.047486Z digest=sha256:32ab1c7c4dd2c149534bba6d6fabcfce93231ede6c17016da3d46d487517b3b0

Observation 52d069ee-3633-4550-a88b-62b3fc59f9f8 · outbound

This paper cites Towards General Text Embeddings with Multi-stage Contrastive Learning.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Towards General Text Embeddings with Multi-stage Contrastive Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T04:27:33.052104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.052104Z digest=sha256:6b887a1a74f2b556693fcf06d801442d96baff2915c6256f5e6c4a334a16cbcc

Observation 6f3e6a9e-971f-457a-8672-8431b4bf87e8 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2026 , pages=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Findings of the Association for Computational Linguistics: ACL 2026 , pages=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.256873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:33.057020Z digest=sha256:4c602f33f5e7d088cbe09dd85f2bf161160084374d627971224ef1d8b6091ddd

Observation 94ac0862-04ff-4b84-9d9c-6c5a0bde93e1 · outbound

This paper cites 8th International Conference on Learning Representations (ICLR 2020)(virtual) , year=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization 8th International Conference on Learning Representations (ICLR 2020)(virtual) , year=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.241808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:33.061646Z digest=sha256:fdf5aaf1c5dfab180b2375bb5d61bfe39a9f6a86e7a096c00b50d12fdf762286

Observation 87df7084-febd-482e-9102-89f51ef5c3ac · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization Advances in Neural Information Processing Systems , volume=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:27:33.225313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-08T04:27:33.066312Z digest=sha256:cdba914e4e00d5132f4dbd9764b7cdb2dab5da8e5dd9362309803cff6dbb181c

Pith citing papers

No inbound Pith citation observations are available.