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Paper Citation Record · LEDGER

FUSE: Ensembling Verifiers with Zero Labeled Data

As of 6 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2604.18547.

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

pith.paper-citation-record.v1
2604.18547 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:39:25.678190Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T03:54:48.803944Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact4
  • verified fuzzy22
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch13

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb59fdb5-47a3-41d7-b56e-d12e2dfa0fdb · outbound

This paper cites 2015 , editor =.

FUSE: Ensembling Verifiers with Zero Labeled Data 2015 , editor =

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.647717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:2ed4791304134501a765009487fe8537f61b610eeee378e524636d1b47cd7908

Observation 1682d60d-ffc6-4d0c-8ca6-17d32ddc9d8c · outbound

This paper cites Proceedings of the 19th International Conference on Artificial Intelligence and Statistics , pages =.

FUSE: Ensembling Verifiers with Zero Labeled Data Proceedings of the 19th International Conference on Artificial Intelligence and Statistics , pages =

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.634094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:c33861c8d7ad24db5078ee4f6692de26f2a9495be66a26871e55d5d53f585ef2

Observation 6972ee54-4cbb-4aba-aa10-661832d078ac · outbound

This paper cites 2025 , eprint=.

FUSE: Ensembling Verifiers with Zero Labeled Data 2025 , eprint=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.637663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:e924122e87c4517795473f24f0fdb8ef5833d09244b212b5d95538f1a20a3516

Observation 9fab4db7-6e6c-4017-bf42-b0aa05e3af20 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume =.

FUSE: Ensembling Verifiers with Zero Labeled Data Proceedings of the National Academy of Sciences , volume =

Reference 4

Resolution
verified exact
doi, observed 2026-05-10T03:39:29.119017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:204ff1c56e26b32bf5856aa2544cd456ec1cee84a5bcd00575c4075368cdc6e8

Observation ad8f67d1-5044-4809-9e15-86ebe2dd7ff0 · outbound

This paper cites Proceedings of The 25th International Conference on Artificial Intelligence and Statistics , pages =.

FUSE: Ensembling Verifiers with Zero Labeled Data Proceedings of The 25th International Conference on Artificial Intelligence and Statistics , pages =

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.641156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:e15d093e35f851b0dc50008b3508b096123aad950183b2dfef18b06984253dd3

Observation 4b39c12c-c0df-49f3-8ae9-58a14b16a7f5 · outbound

This paper cites 2025 , eprint=.

FUSE: Ensembling Verifiers with Zero Labeled Data 2025 , eprint=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.644464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:807805f44d9f5082e7c8e79fcb4dce6e46b6c86f7113a72e0577c94d845a5b83

Observation 236c752e-eb19-4c50-a66c-7950e7391c75 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

FUSE: Ensembling Verifiers with Zero Labeled Data Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T12:26:09.123355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:1d87939e54ed607083e868defaa305d8d114d370613dc883c88fee8c8b74da1e

Observation 3e54202b-6355-412e-ae37-f78bcdee4166 · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

FUSE: Ensembling Verifiers with Zero Labeled Data WebGPT: Browser-assisted question-answering with human feedback

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T12:26:09.164361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:a3571925b32c66f9a11ec000d5b041bc9fb75270352ffe31eda4c8880617112e

Observation 6f5bcdea-4bf3-4a30-98c4-31f39caba6b6 · outbound

This paper cites The answer is (X)\.

FUSE: Ensembling Verifiers with Zero Labeled Data The answer is (X)\

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:09.247168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:05a2067d9b1085fd15328b5b7bc13899831986c64a8e918bc3306684829757d1

Observation 76093582-7130-49d5-861f-22930925e0fc · outbound

This paper cites Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers.

FUSE: Ensembling Verifiers with Zero Labeled Data Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:09.223083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:376e405734580646ab6c155673f87e922dc1ed32a7ec2dbe1e3f6d24c0233b00

Observation a756ef56-836c-44da-b1d7-08c92269b5a4 · outbound

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

FUSE: Ensembling Verifiers with Zero Labeled Data Advances in Neural Information Processing Systems , volume=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.623961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:d71e1579381bfe555dddd8fedf73d12c78e46872b9082c15c7cc68b1c07e26bc

Observation c0baf374-f885-430a-8902-1ad5a8f26cdd · outbound

This paper cites Majority of the bests: Improving best-of-n via bootstrapping.

FUSE: Ensembling Verifiers with Zero Labeled Data Majority of the bests: Improving best-of-n via bootstrapping

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:09.091356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:f7ae62d9e2139bd6a1d85865ec2b515df5502809628ca64869ff9ab020f1f5d0

Observation 9a28b309-f78e-43a0-a4af-c585549f0d5f · outbound

This paper cites arXiv preprint arXiv:2510.03199 , year=.

FUSE: Ensembling Verifiers with Zero Labeled Data arXiv preprint arXiv:2510.03199 , year=

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:26:09.205504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:16a74d0d689a26f2cfafa5e644f5d44b166ec14d0072a8d8b15f33a4fb201d8b

Observation de9a7ebb-6a79-4eb8-833c-bf4eb07a166a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

FUSE: Ensembling Verifiers with Zero Labeled Data Training Verifiers to Solve Math Word Problems

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T12:26:08.994914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:2090865a0ea58c42925d3a72921f1d6a940ff5195f9f455c2ed3f4ad334b9675

Observation 89356c9c-3de0-4b31-a6a9-805b49dea1f4 · outbound

This paper cites Universal Self-Consistency for Large Language Model Generation.

FUSE: Ensembling Verifiers with Zero Labeled Data Universal Self-Consistency for Large Language Model Generation

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:09.009304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:f3291cc227c8d55fba16017f804110e1bdd07743036ace1206f4c399901c2eb4

Observation 818d9ec7-8c3e-4cc1-a0d8-d5c908e011cb · outbound

This paper cites Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models.

FUSE: Ensembling Verifiers with Zero Labeled Data Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T23:32:18.336718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:dfc213bd9104e0d02570522ff99f6561a6573c4f3d02ce2dda8719885b0ee60c

Observation 555fb500-fbcb-4bb5-a54e-5b66afa06ba7 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

FUSE: Ensembling Verifiers with Zero Labeled Data The Twelfth International Conference on Learning Representations , year=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.630741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:c361b42a42ea6b38e5e0a272a15e9d607395b7bf862cdd39b02d522c040e6191

Observation 1d6dd5ae-70cd-4147-a79b-5541d45def02 · outbound

This paper cites International conference on machine learning , pages=.

FUSE: Ensembling Verifiers with Zero Labeled Data International conference on machine learning , pages=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.606298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:1ef3669fa1654d82121b6044840714a19ace8856f8e64a7f6788db703bc5744b

Observation f3822203-23c1-4f7a-b4bc-860856e9f677 · outbound

This paper cites Journal of Machine Learning Research , volume=.

FUSE: Ensembling Verifiers with Zero Labeled Data Journal of Machine Learning Research , volume=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.602928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:5ce3b0b7a60be58a64b2e1ee8100740d131bb6150a55a5220abbe8f5303bb2e1

Observation e72d683f-9301-43c3-ade8-d7148b209c0c · outbound

This paper cites 2022 20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt) , pages=.

FUSE: Ensembling Verifiers with Zero Labeled Data 2022 20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt) , pages=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.609775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:9a160434a174054950be56ee9211cb945c24035d70147409fa45f3cdb3f7e517

Observation 68f9dce6-9d00-4c37-85da-1f4a4b005995 · outbound

This paper cites International Conference on Machine Learning , pages=.

FUSE: Ensembling Verifiers with Zero Labeled Data International Conference on Machine Learning , pages=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.616559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:d11d5086bf9269cbc9047f0e2192ea116603ad7b62da494acc8d41bb385ef1dc

Observation bf834c19-8868-49b5-b03b-2cf37273eba2 · outbound

This paper cites Journal of the Royal Statistical Society: Series C (Applied Statistics) , volume=.

FUSE: Ensembling Verifiers with Zero Labeled Data Journal of the Royal Statistical Society: Series C (Applied Statistics) , volume=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.613148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:2d5627e29ed7f6e587173548e899a3e554ecca7a1e816c7a50b1a62f0d35760c

Observation 5883cec5-2b1b-468f-bcad-dfdd9617d85f · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

FUSE: Ensembling Verifiers with Zero Labeled Data Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.627093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:878e1b37de8866a69097bb23b20355bb8521f2d7b8f9c659d3cd2dd950850ad9

Observation 613c9a59-554d-4ba9-bd98-cc4cdbd342bc · outbound

This paper cites Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification.

FUSE: Ensembling Verifiers with Zero Labeled Data Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:09.073352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:c857ab7da80115f4ea849f22ddcfb389034bd947711ad1cb6f979d74c8c84950

Observation d16a0b6e-ce96-4cfe-88c9-cfd1cdb5ea03 · outbound

This paper cites Evaluation of Best-of-N Sampling Strategies for Language Model Alignment.

FUSE: Ensembling Verifiers with Zero Labeled Data Evaluation of Best-of-N Sampling Strategies for Language Model Alignment

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:09.187343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:973b620b41877f8be711f91bb4920e6406f449fb92fdcb2c673624f58c361b88

Observation f0f1e672-c048-4dea-974c-f046ccb33bbb · outbound

This paper cites ICML 2024 Workshop on Models of Human Feedback for AI Alignment , year=.

FUSE: Ensembling Verifiers with Zero Labeled Data ICML 2024 Workshop on Models of Human Feedback for AI Alignment , year=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.620055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:9a4c9bf7532fe68cfa2fde2f13a39d7eb7ba0089ef633d0fefb32f76ecf97262

Observation 4c002d6f-dab3-463b-8179-4bf45742812e · outbound

This paper cites Reward Model Ensembles Help Mitigate Overoptimization.

FUSE: Ensembling Verifiers with Zero Labeled Data Reward Model Ensembles Help Mitigate Overoptimization

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:09.036855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:082b16d9a8395d7caf4fd182a6114285744a7d5f07c0c137e2709b1dbb798c96

Observation 647e0a61-a9b6-445e-b119-5b1e41c6d209 · outbound

This paper cites Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.

FUSE: Ensembling Verifiers with Zero Labeled Data Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:26:09.053345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:629299a0d17c34e577606016389d3c2e70cafa2e4c870ce88591d2b9703e6463

Observation 630aa785-cd84-49d2-90d3-2b640f608ba8 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

FUSE: Ensembling Verifiers with Zero Labeled Data Evaluating Large Language Models Trained on Code

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T12:26:09.238798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:6f1e8963b5d9ea18eb7e9fc5d102fa16d0b352c4d691fcd8395946c93863c0e6

Observation e1fec6b0-efb9-4fab-ae26-e7f7aa395d6c · outbound

This paper cites Science , volume=.

FUSE: Ensembling Verifiers with Zero Labeled Data Science , volume=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.599565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:9eec28825f5b023489a7b6ed3c733810e61b41ecc3e6e06c872aafb0666bbe18

Observation bbb3dda3-b7ef-4d14-b41a-c97515b8f0e1 · outbound

This paper cites 2025 , eprint=.

FUSE: Ensembling Verifiers with Zero Labeled Data 2025 , eprint=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.588851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:a523e2eac9a848f32975a7009b61f57cbfcae91713aa19c7de63d5734e5f8d30

Observation ccba3f26-6c44-4ad7-b1ec-d41f3f3349d1 · outbound

This paper cites Kapfer, K.

FUSE: Ensembling Verifiers with Zero Labeled Data Kapfer, K

Reference 32

Resolution
verified exact
doi, observed 2026-05-10T03:39:29.111343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:05b0c4f19a24402347b78a5323fad3a8d543f445edcaa082a76f58543027fcb8

Observation d95a02e9-6fc2-42a2-a902-f5291e299b3e · outbound

This paper cites Towards Robust Mathematical Reasoning.

FUSE: Ensembling Verifiers with Zero Labeled Data Towards Robust Mathematical Reasoning

Reference 33

Resolution
verified exact
doi, observed 2026-05-10T03:39:29.116472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:676db052900fb4ca16d0febd2b34cd6f391ad952e1d6b558ef11ad62f3326b2b

Observation ea6491f5-8a8d-443d-b2ba-fbf5887e0d3b · outbound

This paper cites 2025 , eprint=.

FUSE: Ensembling Verifiers with Zero Labeled Data 2025 , eprint=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.595896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:5e6f9c56b54cbed83e2dd92f53762ed410d9be1badedaa1a57062698ffa749fe

Observation 9c65b4a1-a844-4358-b409-c6f02e2fcc5b · outbound

This paper cites Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=.

FUSE: Ensembling Verifiers with Zero Labeled Data Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.592342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:cc5d078a61b6051e4198c65fdc2b4045930afc7c1fe40f5d82295f1ef0f808e8

Observation 3dcc537f-d73c-40b6-950a-1817221e53ae · outbound

This paper cites 2025 , eprint=.

FUSE: Ensembling Verifiers with Zero Labeled Data 2025 , eprint=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.578868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:e3fee762be244071725c8be740c62514aa985054d24ed873b797b69f662c2e92

Observation 3dc6a446-44bd-4597-a892-4626cf43287d · outbound

This paper cites 2025 , eprint=.

FUSE: Ensembling Verifiers with Zero Labeled Data 2025 , eprint=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.575545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:c4b5367be168aa19099717eb4111c83651c2dfa6090861ec36d5b705b7b608ef

Observation b35de244-3ed3-452b-b2c9-a0aaff18ef16 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

FUSE: Ensembling Verifiers with Zero Labeled Data The Twelfth International Conference on Learning Representations , year=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.582193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:dcb237ec6fb2e604a15a14154b8b9bdcd4d42a854812882a907d263d9144fee2

Observation 83e2feff-0d01-470f-b22a-5326ff0bb146 · outbound

This paper cites Unsupervised Risk Estimation Using Only Conditional Independence Structure , url =.

FUSE: Ensembling Verifiers with Zero Labeled Data Unsupervised Risk Estimation Using Only Conditional Independence Structure , url =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:26:45.585375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T03:39:25.678190Z digest=sha256:8b85c0821ba6f0d4249687c20546f1156bdf34272382c5967fc666e177a5223d

Pith citing papers

Observation 160eccac-4c0a-4977-ac68-28efa791fd96 · inbound

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection cites this paper.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection FUSE: Ensembling Verifiers with Zero Labeled Data

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-12T03:54:48.803944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:54:48.803944Z digest=sha256:e89b1c66dece60d75768dbd18ff0b5c0674416d9c927f02cd9a71072570fd457