Paper Citation Record · LEDGER

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis

As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2601.16800.

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

pith.paper-citation-record.v1
2601.16800 v4

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:19:10.059827Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

20 of 20 outbound references displayed

verified exact0
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d03e06f-9c97-4d2d-8106-a1c507d491f9 · outbound

This paper cites In: Zong, C., Xia, F., Li, W., Navigli, R.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: Zong, C., Xia, F., Li, W., Navigli, R

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-08-04T06:19:08.466678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06835fe3-b1d4-4fa1-9006-bce00d7b4e38 · outbound

This paper cites In: First Conference on Language Modeling (2024), https://openreview.net/forum?id=b0y6fbSUG0.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: First Conference on Language Modeling (2024), https://openreview.net/forum?id=b0y6fbSUG0

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:08.537729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 629db4e8-d4d0-446e-8c07-df6c3d9266de · outbound

This paper cites In: Al-Onaizan, Y., Bansal, M., Chen, Y.N.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: Al-Onaizan, Y., Bansal, M., Chen, Y.N

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:08.619960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c53fca4-dede-4483-a883-44bf2f0f55cc · outbound

This paper cites In: Kim, W., Kohavi, R., Gehrke, J., DuMouchel, W.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: Kim, W., Kohavi, R., Gehrke, J., DuMouchel, W

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:08.822890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a512038-242e-47cc-af1a-f13bee81cc63 · outbound

This paper cites arXiv preprint arXiv:2504.08697 (2025).

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis arXiv preprint arXiv:2504.08697 (2025)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:08.883107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9530a93-96fd-4887-9b31-fc3255fc09a2 · outbound

This paper cites In: ICLR (2024).

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: ICLR (2024)

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:08.942072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8713b8e-0bab-4a14-a4a4-60eb6040f4c7 · outbound

This paper cites Computational Linguistics50(3), 817–866 (Sep 2024).

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis Computational Linguistics50(3), 817–866 (Sep 2024)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.064412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1eb378f-adc7-42cb-82ed-a9cb50f01810 · outbound

This paper cites In: Koyejo, S., Mohamed, S., Agar- wal, A., Belgrave, D., Cho, K., Oh, A.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: Koyejo, S., Mohamed, S., Agar- wal, A., Belgrave, D., Cho, K., Oh, A

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.138914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b4083a7-ec16-4719-970e-9d4bb6971bc4 · outbound

This paper cites In: Proceedings of the 29th Symposium on Operating Systems Principles.p.611–626.SOSP’23,AssociationforComputingMachinery,NewYork, NY, USA (2023).

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: Proceedings of the 29th Symposium on Operating Systems Principles.p.611–626.SOSP’23,AssociationforComputingMachinery,NewYork, NY, USA (2023)

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.311699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7b34140-de2d-4f5e-8cc4-2fb377fd38f3 · outbound

This paper cites In: Ag- garwal, C.C., Zhai, C.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: Ag- garwal, C.C., Zhai, C

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.366386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db82356d-10e1-4524-8502-d1093911bd9a · outbound

This paper cites (eds.) Robust Argumentation Machines - First International Con- ference, RATIO 2024, Bielefeld, Germany, June 5-7, 2024, Proceedings.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis (eds.) Robust Argumentation Machines - First International Con- ference, RATIO 2024, Bielefeld, Germany, June 5-7, 2024, Proceedings

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.451018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 348b8ed0-90e2-434a-8815-c87907547ea4 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelli- gence34(05), 8600–8607 (Apr 2020).

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis Proceedings of the AAAI Conference on Artificial Intelli- gence34(05), 8600–8607 (Apr 2020)

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.522816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1963646-0801-47fe-b0a3-672028a1ec0a · outbound

This paper cites In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.604452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7525b13b-a51e-4a14-9485-0428f05dc043 · outbound

This paper cites Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.680553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 647a5fb5-4338-4016-99db-e2a678aa09fd · outbound

This paper cites Neural Netw.5(2), 241–259 (Feb 1992).

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis Neural Netw.5(2), 241–259 (Feb 1992)

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.779528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d82a86e0-998e-440d-a428-d82dcac9c602 · outbound

This paper cites Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.854164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fd44d1a-f702-4da8-ba78-7942dd7959b6 · outbound

This paper cites In: Webber, B., Cohn, T., He, Y., Liu, Y.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: Webber, B., Cohn, T., He, Y., Liu, Y

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.918023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c878960-b8d9-42c2-8bf9-d4743c621c7a · outbound

This paper cites IEEE Transac- tions on Knowledge and Data Engineering35(11), 11019–11038 (2023).

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis IEEE Transac- tions on Knowledge and Data Engineering35(11), 11019–11038 (2023)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:09.977625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01849683-0a63-4a28-b669-3544df60faa4 · outbound

This paper cites In: Al-Onaizan, Y., Bansal, M., Chen, Y.N.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis In: Al-Onaizan, Y., Bansal, M., Chen, Y.N

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:10.059827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5bd0cf0-7f51-4286-ba50-55b17c40b5e9 · outbound

This paper cites 14522–14532.

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis 14522–14532

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T06:19:08.760188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.