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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 14 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 2026-08-14T06:32:32.682623+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:dc2942263ddcc93b8d334cf373639b1b290279cc891ddcead1980c90523f02dd

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:27:55.287041Z digest=sha256:a1bb2d74a0ec7970bb6957468f14f1a640f4630de71dbd9f198943f654b75f7e

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=sha256:56a168b92cd0c7445cbaf6db84f387aaa23f6e4da0b70c0cd608546cf6fadbd6

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=sha256:552807028100830c6cbd36ee3ea379e795e1b7125e377f031dd33676e6150ff6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:27:55.315088Z digest=sha256:b7bff2f4c423048fe35357119394533c4b71ba489e3a95d4644845f1f36601e2

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=sha256:6a0504ae8f670b3eaa9bd097c7d20d9012f495d62f9554e84246fca43cc06b62

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:27:55.322846Z digest=sha256:78c2b119fbd88d3efd7d40f708e870e0bc47fb5a6d6715ca4d23bc9152c8c412

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:27:55.326646Z digest=sha256:267346c8176b71f78cd6ce82115daa87d6e770b837774b48c7a66338bbc5d55d

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=sha256:9b2c09f5c73fbec8387c55882e74d756aa66f04cadc63c71d26980bc24512c76

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=sha256:694f17e6f272839fe21743105be2183f8906df2ab0df9fd489f06c56018c8b4c

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=sha256:01ac8c775c01bca5a0917ebb9d48c3df7bc96fb2f373686945fff5d8fcfb3915

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:27:55.302766Z digest=sha256:1ce8ca420050194285d74a118b155534cd3efebcbf25b30a00ab6fc0f7be9320

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:27:55.279884Z digest=sha256:2a11b894ba5f6fa3970f0c400ef274bd2510ab8865c82c7f1e45990fafd05368

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:f55e1819d06f7c3bedd222a84d0f700ff0ec3e440e9ab42b23c7b9ae5546351c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:27:55.294742Z digest=sha256:5443e45ff41bdd9167080d73fa9e7d052fc7ab12b94840a46ee2fda56933086a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T11:27:55.275518Z digest=sha256:64e33a3ac83e032ed0645482f4e0df03c8df001d38e121c51c31a9198cdefe9d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T23:55:12.149307Z digest=sha256:1bdcc2750fe5b037d87d24a4d04877ade2ce71d57b1e8ccaafc6d55abbcd8551