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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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.126489Z digest=sha256:acb81413c70fd9658cf74f0c4ccea13a1dbe77f742abf2b716c3544ffcc7a3d4

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.134990Z digest=sha256:e4cbeea2bf8ceb0133242dba8a2e325b97f22f91f181f17b76aabc04f47636de

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:eb35c617399ba05c8cda8b0a57abc45abe96361dd2e700b8ab30342c85bd68ae

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.147544Z digest=sha256:75585cbabc50d3bd3e9007e9e75c519bf9ddc1a5404d5e779851d67b0d55a7c2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.152992Z digest=sha256:e2987c1912ec55a54a54b68390e789ab12909e1774c7bd2465638fc8234968d3

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:ce069335165d5beb4c98618463cfcc3fff17183d87c380ecba0bfefe0328eed7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.166076Z digest=sha256:75d7a3132243e7af29ee53e181384c3488ec016375d7f256dde9ccc3add71568

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:b5ab44a111aa6644253d45a22f76dc3682a4bb3cab355a2418ebf63d4aff07ef

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.177902Z digest=sha256:8af499bf998da8e8ab0958df06ff0d4ea14ad34b055424b2007658871d70e07a

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=sha256:7490195308d35cd7d4d10bac266aa256cc73e8313286cf29a435e07db24966a6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.190374Z digest=sha256:ca05caf7a3f0f4aba2dfcd8863f52c1fa0069bdceb480b29c25d8d65529dc370

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.200530Z digest=sha256:8de620a8c1d66cdafde6236fa62a0c625db0589636fb4bfc4de65c38b4344dc1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.206345Z digest=sha256:c0e6e99cec622c31fa4133c72f6df91ad83fc219815001989853989fd268214a

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=sha256:4ec637e1f8b20902a697b5c036cd9bac3cd4b002df9626cfd3f46da556bda60b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.217611Z digest=sha256:3cb182ec4fbe07a6186ef92d55eaab3c013d9a990dc639f37679425848b39c3f

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=sha256:6850946d11c88c68f9cfeee2c7eceb0030fa10280faf5bee6c73548b5092368c

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=sha256:7a224d3ea30cd065d073b2c715a5a7c7ccbd488ca663c1143274e7c995196663

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:d2b89ac847e2a1c78ef5ffb6e26a2e646a38c266cdd40a7448e100ecb47dcfc8

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.239089Z digest=sha256:d6749690e6b85fa7ed0f1614abd3990e93a53cb436e6432cbe4969fec1197c5b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.248031Z digest=sha256:019385d69e1f5f2029e6080de78d09cfa358e0f6fa3bf2ae08c374d128a8259e

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=sha256:2ee62403283b7c89a244c1fde4bbda6035f0eebe089689d0157c350ef1608d73

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.260404Z digest=sha256:7b4c5aa8b22c68f659b2be75aca761ea4bbd7a7b4fc45efd4201c53f274fb91c

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=sha256:36a3f729d550b49839b3eb203bd7c51bc02e3010bc208cee21121cfacc906700

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.271674Z digest=sha256:ada96f1f84840036aba5941e6d96e921ec3b60dfe313530805d962c05f29fab3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.277589Z digest=sha256:34314625cec5ea4a202fbc9f7c8b3133bca23d8c669256120a98a1b0951ff447

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.283729Z digest=sha256:63d7c5602ad6b6896f6b9db5541a1dfb0b6b09e6df592835681cac4a9e6e2701

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=sha256:8123914a017b76c51ab2720581b372f598666555c3f8613e83a06dddbbb338fc

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.295618Z digest=sha256:266f0ed546465fd028b8404bcd6cd8c15624a5c1e5c6b99a9c3d34d8e59ee1a0

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:c3055b40f0ff41dd80b245be28ed0e06c5c3f8f6e0efb2373f3b5be93eb76b56

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=sha256:59d025668dee483d8682d7b5d07498fe34d0431c80e19b112367246d3c7e779b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.311444Z digest=sha256:1df44b545a3e9dda6326111ebf05a4dea279504dc95d4a45da0cc2332fd0cd41

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.316416Z digest=sha256:5703442318d64e9e8ac82df49046a543b43701fb0a607bea262ed179c1e5f5b3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.322635Z digest=sha256:7940db85f83631cbe49a3998337cf26e0583af46c5e3fc37497ec5ec3f9130d4

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.327762Z digest=sha256:dcc38fd2926b61dc8c7b99a6c3a38f5e3b76b08909e1e1631e97c0a4105c3293

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.333273Z digest=sha256:e2fca38a68ee414fc5da0f4aa046eea0e3f8ae8f57f6bbc58270fd2edbad69c7

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=sha256:34655286f795ae6ebc2d6c4c9b32cdd0308d311659b97a4409f9e1027b62af96

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.344719Z digest=sha256:93adf7005bc6196de819c242852ca4db4f7a37104f92816f0912fc5da2f482d7

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=sha256:9f87d0e0e40a9012c69cc05f3a7bd471865203bea3c911858b9459ea533a24ca

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=sha256:51a5498cd2d679c2521ccf53e4d038a6c325b78e1ea26132d47566512ef8824c

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.360604Z digest=sha256:d866a9fa5b2db9440f349511598554ea744e208d2658dd26f556e9ee0cca69cb

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=sha256:781f57aabe431cc324dabc745743a691c50980a90b4a2db0074ce156a2bb2bff

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:b60dc0198a8ef60bbd0bae18caa16e4e875e8256bbeb3d4add606fb277de48c6

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=sha256:5748206522a0aaea696bc2dc667c5ee052895b896ecf7c0d5c12f1746caf7c27

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=sha256:6cd8674bb556046dff516b03c867a1c24b22b8efe0475494589c9c201a9cf9d1

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:a435fccf3e7ca302132be5a403eeeaa77db82a60a53bcbffe90938c34b3f1346

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.391788Z digest=sha256:44772449d31c236426dfac8997f95db7691036a1bfb8cdc828d46287cc06704b

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=sha256:86cc89aa811bfff4b1b93f4a9a3d79fb7409ba2af752e071bb35491fbc931ae8

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=sha256:10c9ce3c1994516fb8976cef997aee00ad4768a54d503c3e2828ef7d3c0dba0e

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=sha256:6ad00c5c2f9e5108ba8de3486e3918d3f27b108ec7529d7acc395bdcb8c6acf6

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=sha256:1f495b47abfce4d836914252c63838f4864373d8f3c442b003d06f73d1ed21fe

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:e88f22f387213e8d9852bf9cb0ff6404f423134b93c7db67db367a4fa1a90249

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=sha256:6b445ba4e47c413c570db7dc2a69338b33fc41f404d547c142dd44cbf78fedc7

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=sha256:58a3b0d8152b02d0289c23364db48f534eff7d768a0484b7ab24de619201923a

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:b5472efabcac415d5b04bddfc7ef844620673e024355534fbea9a9053e3d2ccc

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:20:29.435149Z digest=sha256:465f05d693b7f498226f5dbda658e7a686a511b7525e814f1254dc7b23b8effc

Pith citing papers

No inbound Pith citation observations are available.