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Paper Citation Record · LEDGER

HyperFL: Query-Adaptive Representation Learning for Software Fault Localization

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

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.871571Z digest=sha256:e870fe534d682915078fcee0371e33240226338cbd46256b884a2fa0c02c9f21

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

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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=sha256:6764a3cfdaed720f0ca38b03c49a26e973a58e8a435f6b67a266fb473f0832ad

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

This paper cites , title =.

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

Reference 3

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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:e5e7531c5dbbac670313907283f031a6a478849481310b91f4e33c9206e68583

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

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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=sha256:3f38ae11024941da9fd2ac9c81f7f4127d7f02d8d4e1715f04400f8130fea258

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

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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:e3bf3176de5fe64b35ade584f35a5fc78056231d4e6e664492e05d910b02b7e0

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

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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=sha256:381fa1919ff3b7334e1325590ecd92a5b88db7c83da63f975e6e4dd7ce9867a6

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

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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=sha256:9e75ca80f5d7525d0417577bf6ca8fcf87340cfe782ae5e88b7abc9874dc7038

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

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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=sha256:164ad0d369963826de579950f2a8a5a5ce046e28a2a18604d38c3be814dbdf32

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

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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=sha256:3f538dce84492523540bd4763889de9e1c4dfe3f3decada411c9be60a23e708c

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

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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=sha256:5e001fde0d33713a13f26bb0be385600482360993a2f30c96e559f5f6f2a8e6a

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

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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:ee93779af7796e6c8ae2ed8cd8bff0af7b8ebd1e7af0ca415e3ada7fa9c2c004

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

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

source=arxiv_source observed=2026-08-08T04:27:32.928643Z digest=sha256:4648b940eab4900dfe183ba7e796ff52d873d210052f559d4d3556ef3c72efa7

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

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

source=arxiv_source observed=2026-08-08T04:27:32.933623Z digest=sha256:015abddfc46af1864d7160bd3dfa4fa41b2640cb38432a96f71fb8c95c48a494

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

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

source=arxiv_source observed=2026-08-08T04:27:32.938752Z digest=sha256:25f02f60e8c8711663232b592c0cbffb552f95dfed8d713aeb65b95f2f26c716

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

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

source=arxiv_source observed=2026-08-08T04:27:32.943819Z digest=sha256:f98189a8fc3c42237691ec4dc45c26ed735112c40895df7c5d459dad3e09ff0f

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

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

source=arxiv_source observed=2026-08-08T04:27:32.948499Z digest=sha256:152e1f0110b6763a1762c489c1b5208cbab11d798cc0a82140d74431977b5c4f

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

source=arxiv_source observed=2026-08-08T04:27:32.952976Z digest=sha256:75164b9e0874753ba535304e7501e58fbaf06078b18d5bb7dccd8779f6b7cebc

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

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

source=arxiv_source observed=2026-08-08T04:27:32.957530Z digest=sha256:732a5acca1f040877d8be7efeb0502b48463f979747a363a89b52b976b6cf9bb

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

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

source=arxiv_source observed=2026-08-08T04:27:32.962424Z digest=sha256:71ec9908d62b098451a5e94b3e5c9d80d499f5565edcb4d7fbd1ec5d0ab11b7c

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

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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:b46c9a09e7d68302538f76b04a1056c08b1ce1382e59ef6e1b76ceb26071de17

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

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

source=arxiv_source observed=2026-08-08T04:27:32.972038Z digest=sha256:b803ad7187b401e107916360eef7fd1f254a38a4dd345b85ef0fbb919be2d2c6

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

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source=arxiv_source observed=2026-08-08T04:27:32.976451Z digest=sha256:bf7c8f1211c7df17d34808236778cd5669929c6a4e253a02a50cb30bffb4f19f

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

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source=arxiv_source observed=2026-08-08T04:27:32.981469Z digest=sha256:dfc49b79117df59bb7ecc394911b117fb048ade5e4d75e9b72172f35135e6c75

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:32.986361Z digest=sha256:27c0185b2055d0f82909dd1f3d8201cd06093ccf9da45aa21ccda6504df0037a

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

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

source=arxiv_source observed=2026-08-08T04:27:32.991282Z digest=sha256:5e30a9133792bae07699fb0840555c636baefa7c460bfac647d31a70b755fdc7

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

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

source=arxiv_source observed=2026-08-08T04:27:32.995918Z digest=sha256:10c3c02e09d3fc0cb7bc1efde996343fc2945ae06444d1a0d60c4688906d029d

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

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

source=arxiv_source observed=2026-08-08T04:27:33.000743Z digest=sha256:859e65f710682c8283f76367c03868f903af61a5d2de359d64497273d4e97b4f

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.005446Z digest=sha256:88c371c3f2c5139fcca9c19a40be57a9a46f45ba50b4ffdffd37db5fda85a43a

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.010319Z digest=sha256:95fc0edcbb0d3028d5c4abc23b216ef9ed0b3aa23f945af19fe485d48d54fd78

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

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

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source=arxiv_source observed=2026-08-08T04:27:33.015059Z digest=sha256:1ee577721a1b250dab805cccc3fb49139e4b1ba6155d1f1fa172a50eb6b53f88

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

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source=arxiv_source observed=2026-08-08T04:27:33.020045Z digest=sha256:d5dc3c181f9359b54ac18c6b8eea07a808875af6377c3cf92e93484f302c28ef

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

This paper cites , author=.

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

Reference 32

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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:f3b16c8e95cffdc11ce02bfcca669b460b1bca66a6fd1991c5474f5fb686f88a

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

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

source=arxiv_source observed=2026-08-08T04:27:33.028981Z digest=sha256:79143f247685c6bbc79469896721bddfe37bc67f347b30c06f4b229bb4cad063

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

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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:a3e715e20f3b675a7a3c66336a0ea3cf76546c465332e136bf1e10b6272d5ea6

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.038411Z digest=sha256:e44e24ba7825d5554966c31b107cb5ed06db6df65d7f570ce96be5b98b4f2f69

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:27:33.042973Z digest=sha256:2f3f0bb76299f59bbcd4da6c6d90691dcb7b713785457edc5caaf3eaa7baef01

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

source=arxiv_source observed=2026-08-08T04:27:33.047486Z digest=sha256:7cdaac8392bca40f95e052d42fe0c039dfd226248f0209636854a7f2765b2646

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:d3659c054f2e9c79624d370d6c798a133ba99af94b8944145d498670666927e8

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

source=arxiv_source observed=2026-08-08T04:27:33.057020Z digest=sha256:3baffb92891466924164a040ae9979f93a961ba2c74c459232c91fcb8dc6d798

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

source=arxiv_source observed=2026-08-08T04:27:33.061646Z digest=sha256:9d2f6509643c0623f8b85557a11ad4569da79e1001ba2493891e73037d7aa1a0

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

source=arxiv_source observed=2026-08-08T04:27:33.066312Z digest=sha256:ad3786b5de3f0f397af5bb2bec109e4e145618a7c384b335d40ff7c31ad0c2a3

Pith citing papers

No inbound Pith citation observations are available.