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Paper Citation Record · LEDGER

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization

As of 20 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2412.15453.

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

pith.paper-citation-record.v1
2412.15453 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:27:55.334090Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:55:12.149307Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:55:12.182092Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T11:27:55.283354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:27:55.283354Z digest=sha256:a7cbdb367e0000e9ca2c1b2e8cfb602ea5df22a82dbedc9daaaec8d71a027556

Observation 6b5c118b-d62f-49bd-a617-755acf9fa8af · outbound

This paper cites Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T11:27:55.448210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T11:27:55.287041Z digest=sha256:fc22548df72f600108013251f67739f492a21ab7fa9c8c2308b0640a13295b7d

Observation f9dcf0be-8f1c-4e25-9f19-fca5afb0cfaa · outbound

This paper cites Outcome-Constrained Large Language Models for Countering Hate Speech.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization Outcome-Constrained Large Language Models for Countering Hate Speech

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T11:27:55.290769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:27:55.290769Z digest=sha256:d98e75ac84cc010a7aa5091ca285bf9b511607b5ae8d379caf5846ff5298d512

Observation 3b17e97c-ca98-48ed-852a-72f3c4a640ed · outbound

This paper cites On Zero-Shot Counterspeech Generation by LLMs.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization On Zero-Shot Counterspeech Generation by LLMs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T11:27:55.307040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:27:55.307040Z digest=sha256:970cd1d6a5d6e9a16ad2a66599f7ad08382fd0b5da3690e52e58050cefdfd6e0

Observation 3886aff7-f3a9-4947-9346-ec87272b59ea · outbound

This paper cites an unresolved cited work.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:27:55.490180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T11:27:55.315088Z digest=sha256:3e771085285b39922da0660312588d8c092fc97476a6d0c3d1ddc0b547791dd5

Observation c15e0c04-c073-4f3d-a562-6d40d652936b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T11:27:55.318878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:27:55.318878Z digest=sha256:d5441ba03c774d4abb5ab04b4efd0b685dc9886911014b7c00e797dc6183299d

Observation 8523222d-a54c-4b7f-9ddf-8cee7b453f6a · outbound

This paper cites Procesamiento del lenguaje natu- ral, 71:371–381.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization Procesamiento del lenguaje natu- ral, 71:371–381

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:27:55.479718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T11:27:55.322846Z digest=sha256:2547867449ba0166d101d80dbe9eed9f9792b4d33950909303fe30b333716399

Observation f792569f-db16-4d48-a52e-b70ca49ceea6 · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2021 , pages 2127–2137, Punta Cana, Dominican Republic.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization In Findings of the Association for Computational Linguistics: EMNLP 2021 , pages 2127–2137, Punta Cana, Dominican Republic

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:27:55.469292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T11:27:55.326646Z digest=sha256:bb6c4898806e889c7f706e7fc1d2faceb46f9ceec050f280172d910d96e876bb

Observation dc2011f7-34cd-4447-b503-0d5c98efe2c3 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization BERTScore: Evaluating Text Generation with BERT

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T11:27:55.330191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:27:55.330191Z digest=sha256:1e0364193459e15ecf6f6ec9dec687f3ba866388340968f5d19fe4519547adf3

Observation 43debb04-e933-4a49-bbb8-ec98e5f09418 · outbound

This paper cites A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T11:27:55.334090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:27:55.334090Z digest=sha256:2a6d1f8af8cc43f40e842282e8836811f9b4c098bedbd8047e0ae9d1e9d5f290

Observation 9bea2532-1df6-40fb-93d2-1a82c9f86cb6 · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization Release Strategies and the Social Impacts of Language Models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T11:27:55.311084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:27:55.311084Z digest=sha256:f966607d4fbc5f4be544e1b0b7fc986e318fc7d1afd32e3839804cad34eb3fcc

Observation 05964936-4480-4d34-8482-d39a27770b2e · outbound

This paper cites Hope Speech Detection: A Computational Analysis of the Voice of Peace.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization Hope Speech Detection: A Computational Analysis of the Voice of Peace

Reference 2020

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T11:27:55.415543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T11:27:55.302766Z digest=sha256:4db8b35a1caf065ad0969c15b89083d2d50a14a8e18da150bb95a088bf13dbc7

Observation 9d4271f4-bc0f-4a8d-8b1e-a5c7fa4f397d · outbound

This paper cites In Find- ings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 899–914, Online.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization In Find- ings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 899–914, Online

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:27:55.512142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T11:27:55.279884Z digest=sha256:70ca0f8e60782c2b297c53e6afd168d0c956cfc253c6ccbae04a2befcae1566b

Observation b020919a-50f4-4190-a6be-3be160d4ed7e · outbound

This paper cites Training language models to follow instructions with human feedback.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization Training language models to follow instructions with human feedback

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T11:27:55.298599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:27:55.298599Z digest=sha256:6294aaad99783bf1c26c298a000ae56884cb7b6131930e45bf5f3d61d0663e1b

Observation eb95973a-a240-4cda-9192-35ce2f9c13e3 · outbound

This paper cites In Find- ings of the Association for Computational Linguis- tics: EMNLP 2023 , pages 9759–9777, Singapore.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization In Find- ings of the Association for Computational Linguis- tics: EMNLP 2023 , pages 9759–9777, Singapore

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:27:55.501587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T11:27:55.294742Z digest=sha256:accfe06e66a600faa04521e2f94e33208edf4b8a3289ea97b8fb9a754bd54b72

Observation 6a52bebd-4124-48fe-b798-2744016e0c87 · outbound

This paper cites In Find- ings of the Association for Computational Linguis- tics: NAACL 2024, pages 3480–3499, Mexico City, Mexico.

Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization In Find- ings of the Association for Computational Linguis- tics: NAACL 2024, pages 3480–3499, Mexico City, Mexico

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:27:55.523516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T11:27:55.275518Z digest=sha256:e8b62bc3b2f5afd54aafa0a440dd64da4be2a80e908003914dc0dd0780e4a92d

Pith citing papers

Observation 9f52c7e5-8477-4cba-8984-c5570d50057d · inbound

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech cites this paper.

Can NLP Tackle Hate Speech in the Real World? Stakeholder-Informed Feedback and Survey on Counterspeech Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T23:55:12.187414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T23:55:12.149307Z digest=sha256:5d166155d3486598d02f218cf048f2fd92a02dcce494685d4709a1b3db3e7380