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Paper Citation Record · LEDGER

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2608.00785.

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

pith.paper-citation-record.v1
2608.00785 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:20:29.435149Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

55 of 55 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef343b4c-654e-4430-8683-58e50504c126 · outbound

This paper cites Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.744720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.126489Z digest=sha256:83b02c206a17d9d4317ca26f7e4ab445f75d0e9422b8844f28450a493b759f82

Observation e60c8403-66b1-44b4-ba1b-36014395bf1b · outbound

This paper cites Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval , pages=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.727049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.134990Z digest=sha256:b7b851eea8c33df7f6af42f031a9478820c7c938e0365e9d47641b5223e9519e

Observation d1946626-2bbf-4e93-96bc-67248cf80d53 · outbound

This paper cites A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.141250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.141250Z digest=sha256:db7bc783bfae1cc172414b93af3b22db85dd9117103fcbf19a18cc416d90f41e

Observation 34e591b1-f754-456d-81ec-278c441bc148 · outbound

This paper cites Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region , pages=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.709902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.147544Z digest=sha256:011d5c7666c02348d253d214374c701aca025bf538db5bcfd8f8e6a39d5b3746

Observation 2934bce4-debf-452e-8a04-c8cc5a96dacd · outbound

This paper cites Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.691735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.152992Z digest=sha256:3045edc4897be67f7a42b0df6b575b29a8c22658fe1b5380cd0c61bb4eb2fe68

Observation b7b63ba2-78f5-4f2c-8341-510a9ac24ffc · outbound

This paper cites LLMJudge: LLMs for Relevance Judgments.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems LLMJudge: LLMs for Relevance Judgments

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.158697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.158697Z digest=sha256:f6762259593cb72c6185124cc163b8593fe12de2f13b2898be72b2a483329c36

Observation 37474250-821a-4bf0-8854-40a573b98c23 · outbound

This paper cites LLMs can be Fooled into Labelling a Document as Relevant: best caf.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems LLMs can be Fooled into Labelling a Document as Relevant: best caf

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.673802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.166076Z digest=sha256:1b3e114e6a1d22fe3f20ab55f1d18818fbc623b5f0fffc992a8d04c9040e422f

Observation ffb49f49-e988-475c-90a6-a720f2b6c6ac · outbound

This paper cites LLMs Can Patch Up Missing Relevance Judgments in Evaluation.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems LLMs Can Patch Up Missing Relevance Judgments in Evaluation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.171851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.171851Z digest=sha256:9f5ce30ed914bf9b8a488ca69e802369c8e3bd212fcfb3d77f6e15237e92abcc

Observation df737b76-7407-46ad-9cbc-52bde5c5525c · outbound

This paper cites Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.655726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.177902Z digest=sha256:b17ce190a00dfcf5a02cc90765963e5efd763d74a324914e5b8b069f2492d647

Observation 26e328e7-ab83-4aec-932a-1dd37281a3bb · outbound

This paper cites UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.183276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.183276Z digest=sha256:39609278af07a10c081572cc2beb00a2cbceae85cdb6b66b1709a0f6e73bfb04

Observation a98e6025-e8e2-4e35-9724-8923e89592ea · outbound

This paper cites Augmented Relevance Datasets with Fine-Tuned Small LLMs.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Augmented Relevance Datasets with Fine-Tuned Small LLMs

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T15:20:30.231840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.190374Z digest=sha256:f20970956893fa4f4b50417f235042073f42b42ed8b8fcc81b1ceba77e81ad41

Observation 81ee92a0-af71-4ed2-bb48-ef54857669ff · outbound

This paper cites Benchmarking LLM-based Relevance Judgment Methods.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Benchmarking LLM-based Relevance Judgment Methods

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T15:20:30.208418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.200530Z digest=sha256:496e00d7e0f70efe57e42c7a55a84775efd361477305378bdeb5c8529bbfd4d8

Observation 00c0913a-6442-4490-bb3e-53c9d9815056 · outbound

This paper cites Companion Proceedings of the ACM on Web Conference 2025 , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Companion Proceedings of the ACM on Web Conference 2025 , pages=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.638777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.206345Z digest=sha256:04b16fad618d7b9019e5860cbfc3610d9708f4e342894e4c39afdf47d553cc47

Observation 54d8207c-2721-4e8a-a3e6-5759d6a4479e · outbound

This paper cites Judging the Judges: A Collection of LLM-Generated Relevance Judgements.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Judging the Judges: A Collection of LLM-Generated Relevance Judgements

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.212047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.212047Z digest=sha256:5d8c6cc3085a9e287ea42e9a833d95734c3838dc1088f77a580d870dbb6d1aee

Observation 9d2f1be8-13b0-4eef-b434-7931b4eaa9eb · outbound

This paper cites arXiv preprint arXiv:2504.05220 , year=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems arXiv preprint arXiv:2504.05220 , year=

Reference 15

Resolution
verified exact
raw_fallback, observed 2026-08-15T15:20:30.163948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.217611Z digest=sha256:f62b26e5c4563fa0186ab26f383655b85e1c981471a36c566ca02295c9c3ac59

Observation df8d3b3a-f4b3-484d-99ac-f54bee0e5b3c · outbound

This paper cites LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems LLM-Assisted Relevance Assessments: When Should We Ask LLMs for Help?

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.223000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.223000Z digest=sha256:445ca447d9bf43a613d8cf7f7f89efe5e207c1b954f946028832ec2e73fdc8c9

Observation e0ab20bd-7969-47ef-be7c-e235e5121be8 · outbound

This paper cites arXiv preprint arXiv:2412.17156 , year=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems arXiv preprint arXiv:2412.17156 , year=

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.229416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.229416Z digest=sha256:b9f077c61bdfa69c908238f8a3bcb35e613607f4b29ff984e04d3f6d000b1db8

Observation 06b3c5e3-2c72-468f-88bd-7862d150e1d8 · outbound

This paper cites arXiv preprint arXiv:2504.19076 , year=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems arXiv preprint arXiv:2504.19076 , year=

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.234309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.234309Z digest=sha256:1936d8324561828b27325bcaf78d93d2d32901965abd0a3bd6c9aebf85326928

Observation f5b917c0-affc-4507-90cb-b3f6d6e83986 · outbound

This paper cites Companion Proceedings of the ACM on Web Conference 2025 , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Companion Proceedings of the ACM on Web Conference 2025 , pages=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.622062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.239089Z digest=sha256:7745ed6978e298fad253ce6d073470d4908edef633761e0be2a55df6954d6aae

Observation b4cbf16f-daac-4317-9510-c49d65b9c333 · outbound

This paper cites ACM Transactions on Information Systems , year=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems ACM Transactions on Information Systems , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.602932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.248031Z digest=sha256:35e2c669b81c93732415189ea325ddc7003781ed1c7d40aa390fa2d8a7caed6f

Observation 8add392d-1268-451f-b79f-ee56e01429ec · outbound

This paper cites Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.254056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.254056Z digest=sha256:c50cf3985bcf88c1180b4e0efddfb9d685e12fbb6bf0bd8a29981564076eb17f

Observation b6bfe15b-1266-4319-b551-fa8594530119 · outbound

This paper cites European Conference on Information Retrieval , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems European Conference on Information Retrieval , pages=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.584553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.260404Z digest=sha256:3e7e9f98751b46a5af4ebc357f9d6964e263a6ac58995a0b25810cef6fbeb3e4

Observation 90d4b1bb-32c2-4d4d-ac38-9583dad37548 · outbound

This paper cites Large Language Models for Relevance Judgment in Product Search.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Large Language Models for Relevance Judgment in Product Search

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.265889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.265889Z digest=sha256:a81263fabd587f4df99ab75dadfae2fcc0659a97c51db6498ca9a4cf6b786960

Observation 70bac275-36cd-4262-b36a-e5311a17cb93 · outbound

This paper cites Proceedings of the 2024 8th International Conference on Natural Language Processing and Information Retrieval , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 2024 8th International Conference on Natural Language Processing and Information Retrieval , pages=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.566490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.271674Z digest=sha256:6ffae1f047078263f97d59efe8c8eab55db4c7589185252dcda8b650f7678ab5

Observation 79b40686-9365-4507-8601-8598af6ca754 · outbound

This paper cites European Conference on Information Retrieval , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems European Conference on Information Retrieval , pages=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.549752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.277589Z digest=sha256:d5da17de62c0dfe4e6718afab48f45880844d1348830027bf3612f387c4630b3

Observation 74cadaac-e41c-47e7-81ec-58d1a1b540a4 · outbound

This paper cites an unresolved cited work.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-15T15:20:30.533181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.283729Z digest=sha256:65d3c351439c1578794538b2cbed74eb3d701c5ea29782cea2bbfda786e92d7f

Observation fe78086b-8539-4710-91c3-734ddb8b92b0 · outbound

This paper cites Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.289149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.289149Z digest=sha256:d7b06ff6777112d8fa4dba8af7f84d40ea22e9e8e5590dd08f74d4270aa1a5b3

Observation b8d27a81-2cd0-429d-9e29-e6f391802843 · outbound

This paper cites Proceedings of the 44th European Conference on Information Retrieval , year =.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 44th European Conference on Information Retrieval , year =

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.517181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.295618Z digest=sha256:637d194cfdaa2152cf0de68ed925336acfe1e7597b80b389bd51812402f1a9fb

Observation 5dffadbc-f8fe-4424-8ad9-9397e448d9e2 · outbound

This paper cites ACM Transactions on Information Systems (TOIS) , volume=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems ACM Transactions on Information Systems (TOIS) , volume=

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.300568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.300568Z digest=sha256:d00dec27f94242b198b20a9e47cda1c1f48469646811c6b951675a541787916d

Observation 59385fb4-a34a-4fb5-b532-e2ec0fabc263 · outbound

This paper cites 2008 , publisher=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems 2008 , publisher=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.306041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.306041Z digest=sha256:f9b906716302d55222271e4620f7787f2e463de34edb1a16e5c8f5620b3d0a47

Observation 56c710b0-517f-4bad-b05e-11bdd19ad2fb · outbound

This paper cites Foundations and Trends.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Foundations and Trends

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.478047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.311444Z digest=sha256:27eb949d9f37d328ba1fc37d12a3454e455fad3e753e587b67ac8bda24297b1e

Observation 41e1d9d3-5cff-45a9-996b-01d9221c0369 · outbound

This paper cites Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval , pages=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.460079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.316416Z digest=sha256:df0c60dd1f181077a5e18dfe4323c4db3090a7409de1074c361ee6a97099a704

Observation 14a46ac6-4bfb-418b-8e5e-7e882ac2000d · outbound

This paper cites Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval , pages=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.442765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.322635Z digest=sha256:4a0539ffee8dcaae9aaa1f1fc59216ce6a326afd46347103afde4d8b52c3025d

Observation c225dd6b-e8bd-4406-ac24-ee1039430a0a · outbound

This paper cites ACM Computing Surveys (CSUR) , volume=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems ACM Computing Surveys (CSUR) , volume=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.427477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.327762Z digest=sha256:e55eda4b3ed57ce6c31f55b4cc6f5b60a425633e4e8ff5d577abdc0e84631f0d

Observation b8aaa47f-b168-4b55-a555-1460e00a899b · outbound

This paper cites ACM Sigir Forum , volume=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems ACM Sigir Forum , volume=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.412278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.333273Z digest=sha256:180cf83931e6cc1afc5fd78443b09f7c02b4e383ce5bd82cb949932dac538a94

Observation db4ca0c3-39c0-4e6e-87e8-fa7a72be2dd4 · outbound

This paper cites Best in Tau@LLMJudge: Criteria-Based Relevance Evaluation with Llama3.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Best in Tau@LLMJudge: Criteria-Based Relevance Evaluation with Llama3

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.338768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.338768Z digest=sha256:9bdca161cf9275a202579a11e14d36e2b8c97351b5797e56ddb64ce7785985f9

Observation 6ddac2db-c4a4-4b0b-89a5-ae9d12953946 · outbound

This paper cites Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR) , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR) , pages=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.396382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.344719Z digest=sha256:33884996a34fee3c7f47961c268aec6cda0a6cb2f7fffbf1f0427758d3f692c5

Observation 10fde37f-a44d-4cdd-bb5d-abd64097bf81 · outbound

This paper cites Agent-as-a-Judge: Evaluate Agents with Agents.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Agent-as-a-Judge: Evaluate Agents with Agents

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.350705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.350705Z digest=sha256:7b7fa95441af02fcd08bcc73088400b2c2d8bd2d5ae7d1d16605e8d68658f44b

Observation 79bcbf52-710e-4541-b49b-13b4aeca0da7 · outbound

This paper cites Leveraging LLMs as Meta-Judges: A Multi-Agent Framework for Evaluating LLM Judgments.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Leveraging LLMs as Meta-Judges: A Multi-Agent Framework for Evaluating LLM Judgments

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.355664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.355664Z digest=sha256:de606e3e54877c5a010710aae72602ec4430cad19e9675e1d2154b6dc67a79eb

Observation f8b2d1c5-b80f-427c-a905-2a2123f305c7 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.380701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.360604Z digest=sha256:b8c83f78095d0fcd7d538d36115642d02ce97ebe749ad6873be717689db5bd9e

Observation dfdffb6c-7c76-499c-9fde-62bc04c8d4ce · outbound

This paper cites From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.365692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.365692Z digest=sha256:3e97b253953ce26b773095cb2156416c49c3da80ed14f335b1bcfbf5c3fe073b

Observation e13d7ab8-824c-423d-8336-b54363704c42 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems International Conference on Learning Representations (ICLR) , year=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.371544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.371544Z digest=sha256:d5c36e40faf955df8685665f4921ff9c40c09bf3b378ee8dec5207e73cb50f01

Observation 7f54dd59-2404-4bbf-96ef-fe6af4fcf880 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.376178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.376178Z digest=sha256:bdedc9768aed7274062848da6cbf161421a190580d28e3056cdd30aead622194

Observation f88994c5-d7e1-4dc5-8e7e-7763da8afac0 · outbound

This paper cites First Conference on Language Modeling , year=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems First Conference on Language Modeling , year=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.381216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.381216Z digest=sha256:452648d741285a1c6527c042b0d8ce24152483002c296b0de34daac8125a3247

Observation 59ab2bc5-daf6-4def-b709-8a7e49993ec8 · outbound

This paper cites AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.385768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.385768Z digest=sha256:1fce554d348bac4351afabb7dac2c434866651e10325bdfca4dfcf235a8f4491

Observation 8481d533-6c20-4424-8bfd-37e02b0572fb · outbound

This paper cites 2023 , url=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems 2023 , url=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.343288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.391788Z digest=sha256:14b2815d4a19c5d3e06e8439e65e576b2bb7a76b0ae991a0d053409ed316635f

Observation a0157245-549e-49a2-ae6a-390721d21204 · outbound

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

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems The Twelfth International Conference on Learning Representations , year=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.396330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.396330Z digest=sha256:3344e17138264c63782e4b041218d3704a820ff56bb38ef389d9c102e216ec5f

Observation 87f21104-b5bd-4359-9ebd-8d5bcd3cbda9 · outbound

This paper cites arXiv preprint arXiv:2404.17153 , year=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems arXiv preprint arXiv:2404.17153 , year=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.400789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.400789Z digest=sha256:a2bdac4c889da8d4992ae73ddab84a897befca63fcd2dddf8b02e8bac2f729d8

Observation 0b79e18f-fab8-4874-b60a-0316d1f6e6f0 · outbound

This paper cites MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.405709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.405709Z digest=sha256:e87b6d573a9f0a1fbd3e747e4a6194a1fb562eca1e32aa339ba063064f83f113

Observation 19aff83c-ae49-46a0-81c9-ddf97ef350f3 · outbound

This paper cites QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback-based Self-Correction.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback-based Self-Correction

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.410443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.410443Z digest=sha256:64f7fa6a3fffbcf1d1bdaa2e4c563e6a88057f406188adc3d340b124975f9dd4

Observation 6260c4b7-d064-46e5-a955-bbda80002c1d · outbound

This paper cites AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems AGENTIF: Benchmarking Instruction Following of Large Language Models in Agentic Scenarios

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.415024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.415024Z digest=sha256:121da2afad222d6d1498eea5bc7095a807d80b2163d12083af23b5efda5a9e5d

Observation d76f78e3-be65-4d6d-ba7b-3d3bef032ce8 · outbound

This paper cites arXiv preprint arXiv:2504.09037 , year=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems arXiv preprint arXiv:2504.09037 , year=

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.420151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.420151Z digest=sha256:015e1603053c6b566aa63a33762936b1153b1d7f68d23453288400ae0c6f8442

Observation 09a1a83d-25c6-4324-8c68-c65e26b8c5c0 · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.425735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.425735Z digest=sha256:98a81b02940cc1fd0f7afc8b55b6a6db3d7421118d7e89473fbd932f82aee5b1

Observation e0fec26d-cfa5-4103-92b6-7fd14f840a53 · outbound

This paper cites A Multi-Agent Conversational Recommender System.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems A Multi-Agent Conversational Recommender System

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T15:20:29.430337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:20:29.430337Z digest=sha256:f311c2208bf915363a6076264e1946e14dd146bfae7c11ed8c22932a1c3223c7

Observation ef9cee30-d6cd-4898-a052-dceefa4409d4 · outbound

This paper cites Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

HIERA: Hierarchical Multi-Agent Relevance Assessment for Content Discovery Systems Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:20:30.316975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.435149Z digest=sha256:f8c32e2807a5ffeaa2751ca515e2cb1ca845a634ab33c22504ad773a5fff892a

Pith citing papers

No inbound Pith citation observations are available.