Pith. sign in

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:ad03bc452023a72579752a7384c25fb1a53abf216a0be4e4a487b41bdaed6a8c

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:ee1a071c61a4e733038e0d315585a1ed0cf44e049a760f8fdf3627f001a5e1a0

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:c53167b68fa91a3d3d67e14788950305428d858e61052958f1e3f2f524e95803

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=sha256:15f420180144e4203429dc78f1bc12edc5d63457595b9e494fe6015a54edf0ca

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=sha256:5522c5f0bdd0ec0310bbf4219cc4e55a6ef53da4b133cd0734063bcb05b18156

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:c263523c304e66b3f473c2fbf096412e6ec4c7174f030fe48d4472691ec6cc9b

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:c37a516a5f9abc199eb25daa734942028aea8df19ff54e293d40589c7179e197

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:e481d9b4cc4c55e1103151af9eee7022afd6b443c68dac3f611609c2af6da9f0

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=sha256:03e1d499713abc1009ef2516335ad0db6c8464b5ff8087a43d47559b7cb382e6

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=sha256:716c7ae30d69bf379e280fa66f74affe2237b050474b483700cec5028660032a

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=sha256:607a7e88c3fea6b6d011b26fbb0d4ad8dd1212e5c8264f38c83b9698e814974a

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=sha256:0a58eba64874f15d43523edf26f4027bb04255ed318df59507a4c749cdbe8823

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=sha256:069de4eae82e6066fd36b20c53d373f1cc126867f4baddcaa53f5cb644a00f56

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=sha256:8c6cbc3f29ddfbcbeeeefe2c7e931807a4d3bb054d9842243c4e59866673530b

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=sha256:6bb3b66ce286c50d56518cca5a4a3ac05466aa97306b7e5b67ac71eb45eaa4ad

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:bae8d87dac232c8ab8c0df8c0d0986b87c5a6f8bce9781058f08c775aa01a57e

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:e0e9a826817cf21079ea1a8edfa660019883176ca876fa0d13c774bac55efe9f

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:e9a8b936f09e64ebd13606e1768fc51cd79f8fee3858963338ff75ec62a985ab

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=sha256:0153831c75705dcd4e9706d63eef096b96d481967aceb25ea52e3c375c523efb

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=sha256:10996985c55423a8d32bbcfa8df782aaf707d903c74f0070ecfa7d95eada9665

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:c0c42acbf0730f99e1e16a1266c65433fd4004781b3f87284fe515a99c44d317

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:cd3c1f34592505c958e3468b1ec643cd6a1f0ca96fdc1a841a4ede829d435233

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=sha256:0c92fe971353a0acae7a4eeba94784e52f59b1132351d30209af0f00c66fbb79

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:da53765764cf0a92f81d7761be40efd3e8789029e5539f65154f12391b31b796

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:aac8559c7dd2ee02fa4dd42ff7c7b296f21d66bf6bddea6a4bba7dbfa5647e6b

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=sha256:17c0f27bfbfaf88c4f9a183a8a3ed64614219d9fb907ce43cf54e42d03dbb247

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=sha256:5cd71eaf680e2093304e7f6725ed01462174dfef8927a5401a0662a41d8fde8c

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=sha256:5e0c8dd40c8fb0500248d21c2965ac1e08013f3da9ba17d9f26b56ce82edfd8b

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=sha256:7059c6c7876ba4fc9da63a2f5e01aac54156345836ac1ae77c22ff62ca3a0b72

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:c2c1bdc043f5d0aab6d63a69771fc4e2d7dddb7cb82fdd4d20acc7548b16063d

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:d2277e7d72b17bddb01aae2b20f80503e877dd0ae33695f0e53b39cb7080a201

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=sha256:8966298828cf2ee28dfdd67e0bc10e8b51d760f31fbbcee619a997305d976606

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=sha256:7f09773acb2b4e5dd2fa4382d3d30d8f1f260a4b9246adb156e0b64e1809c1a3

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:d2f19cf24135e71751f38e8b31c4b20d049cbaf2754be0e08d3c29b2781466b6

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:fb2024b25b090239bc31e493a53688611a230d4ac20790a3a95d2d70000e9f38

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=sha256:189272786fa3283640794f5f5b928f74252a80498485749af55b239c163a5b43

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:a4b4791cffaaf6f72c1699c7835900dab9f885fc50c6833e38a33a5b3a133206

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=sha256:13984aa23d3cb05a5d546cc389dd85f2a0a862090679fe4db1f85b52abe57e01

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:a5fa0e19f0a56b586a93c12d916b1999f72af2649a2a7644c355c6a89ad37890

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:af7e42dc9cf833848e8a3f9bde19c7727f8b01abbddb774e1a1c5aa80907a078

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=sha256:90f2f33fb70a146058c5d24b858bbb1d8e2b523e5ac9c8f441ae3c0b2662ad21

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:dc325111ff338d18f90a5ab49e8d80c38eb6d59460fede697ca5482119c3ac4c

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=sha256:5e567c209f14573b9a86dc16fab940d40129185968888b6094bf12fa7186772a

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=sha256:894a382e428ce68ece170a7927249bbc68677dd1dc56bd348d5109f4eacc9911

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=sha256:38b0fb67b5c5c33e29edec5ffcc2b2f0a6a51a2dda204509d6b18215aeee54e5

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=sha256:12b2d2c76b918fc3eaae95edb5d28b593c5819412eaf31772b752c23b55627f9

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:db64404d983ccf0b01bb111c1164ad529ecf5f9901a3601192c0123f27b17cee

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=sha256:230af0504225a46ab83686e4b73f419e906210c15d21a767909cef27ed551403

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=sha256:2b9b357f7992382c3253e50d9e33817bf25d02142115035c706b9de9ea147733

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=sha256:9b4c9e6a22e8b171c33c59fcb809beb1096ddeaf3b17ba059e62222c156938b6

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=sha256:17115f911c5ab9c15bae626e3437f5669f43e910864f01bb7b5894348201e43e

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=sha256:48d4f5ec1c3e3e32402c22a9e210c83447cf451daad91d6acff7b5d6a7b8476a

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=sha256:6018d4ac41f847598aa7d27fd1be385a3aabed32e5fcd3cbb0b93becd510f008

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:cf29fb9863e59ff6491efff817dcaf517290e6342c49a505b0787c57150c3a65

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:f882058e75a8524b66d2cc32c57fe16fc422f6fbd307e918e65b55febdadb62d

Pith citing papers

No inbound Pith citation observations are available.