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Paper Citation Record · LEDGER

CleanComedy: Creating Friendly Humor through Generative Techniques

As of 18 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 3 inbound Pith citation observations for arXiv:2412.09203.

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

pith.paper-citation-record.v1
2412.09203 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:17:00.483542Z

measured 19 of 19 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:11:46.654689Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T08:45:19.186012Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab1dfa3a-b454-4087-bf14-a2fa4d34c3ff · outbound

This paper cites Knowledge Amalgam: Generating Jokes and Quotes Together.

CleanComedy: Creating Friendly Humor through Generative Techniques Knowledge Amalgam: Generating Jokes and Quotes Together

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:17:00.572408Z

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=pdf_text observed=2026-08-11T17:17:00.368792Z digest=sha256:2c2dffb1399b3f374a5b2d1131ca54f97975a6a15d5b60568735e3ffc4dd939a

Observation b3a7b885-741d-46e5-bb1f-2343cdf50ee6 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

CleanComedy: Creating Friendly Humor through Generative Techniques LoRA: Low-Rank Adaptation of Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.449590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.449590Z digest=sha256:d813e5ac2193463b47117537539e137a6ff6725f8b937131d5073e447697809a

Observation a790f6f5-aed6-423d-bd35-4f19aaa9c454 · outbound

This paper cites In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 105–119, Online.

CleanComedy: Creating Friendly Humor through Generative Techniques In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 105–119, Online

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:17:00.610461Z

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=pdf_text observed=2026-08-11T17:17:00.456317Z digest=sha256:c60b0132ef12c62e7dcf2e4ebed30d12a15e48087200f7cc6a5e8e0d4456c2bc

Observation 7d09ccfa-bf5c-412d-9624-4a518db18271 · outbound

This paper cites In The 2024 ACM Conference on Fairness, Accountability, and Transparency, pages 1622–1636.

CleanComedy: Creating Friendly Humor through Generative Techniques In The 2024 ACM Conference on Fairness, Accountability, and Transparency, pages 1622–1636

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:17:00.603488Z

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=pdf_text observed=2026-08-11T17:17:00.462273Z digest=sha256:a5349e1cdb2ab209d0c24590142e6d328a6735a286b5e269ff5d241d5bc7e017

Observation 66ca7538-19f0-4b5a-98ce-28371d987cf7 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

CleanComedy: Creating Friendly Humor through Generative Techniques Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.464992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.464992Z digest=sha256:cfabbe71deb93a910cfe3f2abba00669b4b5c30ab7f93291f5259df7c568cc99

Observation bfeae320-8b13-4c0f-abbc-1bac7870fbac · outbound

This paper cites In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing.

CleanComedy: Creating Friendly Humor through Generative Techniques In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:17:00.594878Z

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=pdf_text observed=2026-08-11T17:17:00.468195Z digest=sha256:967c25679770238645bd90037ca04b909182cf3d1a0410a85bd89aa8e4717206

Observation 53f08d2f-f05e-4d7d-b759-e36b21cf96e0 · outbound

This paper cites The Naughtyformer: A Transformer Understands Offensive Humor.

CleanComedy: Creating Friendly Humor through Generative Techniques The Naughtyformer: A Transformer Understands Offensive Humor

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:17:00.518716Z

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=pdf_text observed=2026-08-11T17:17:00.474888Z digest=sha256:dbe1b69923f19921813fb0892fc48195ed579f59c7b985341ea2c54590bcc88a

Observation 174776ac-f535-49c9-b254-1bba17f03d8a · outbound

This paper cites Humor Detection: A Transformer Gets the Last Laugh.

CleanComedy: Creating Friendly Humor through Generative Techniques Humor Detection: A Transformer Gets the Last Laugh

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:17:00.507692Z

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=pdf_text observed=2026-08-11T17:17:00.480299Z digest=sha256:ea6f2e787c03b4ababebce05120f4f89c2038f8eb94d4372e66ad912c06fb21e

Observation 99a9c926-f565-490c-a4b5-1e2c0352c6fe · outbound

This paper cites In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pages 2367–2376, Lisbon, Portugal.

CleanComedy: Creating Friendly Humor through Generative Techniques In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pages 2367–2376, Lisbon, Portugal

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:17:00.580181Z

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=pdf_text observed=2026-08-11T17:17:00.483542Z digest=sha256:d326ca658acf77c589a7fa8e4d9da1bdc8b496cda4f51c48f7555cce256fbcce

Observation e25dc3d4-8e52-4612-b596-0b83b9ff153f · outbound

This paper cites Dialogue 2017.

CleanComedy: Creating Friendly Humor through Generative Techniques Dialogue 2017

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:17:00.587311Z

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=pdf_text observed=2026-08-11T17:17:00.477778Z digest=sha256:20a85b9610444eaf79413cd4b792289ef92dd23f669ad6f40a52a48b7f183edf

Observation 4e0d13fc-ae9c-46bb-881f-05729d2ce092 · outbound

This paper cites an unresolved cited work.

CleanComedy: Creating Friendly Humor through Generative Techniques Unresolved cited work

Reference 2018

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:17:00.616729Z

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=pdf_text observed=2026-08-11T17:17:00.365634Z digest=sha256:ad735bd560b7143dcd6ea35ad9761a564221a4814d3ab7a1c86c26acacda146e

Observation 6a5ce24d-e18b-434a-8dee-f12aeb5d4a65 · outbound

This paper cites Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language.

CleanComedy: Creating Friendly Humor through Generative Techniques Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.452477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.452477Z digest=sha256:e7c57389e7270fb61e6486cedf432046c06c7b248d6bc518b338ce5a7b5ad337

Observation 4bd1f9f2-f4a1-4f33-89a6-4783c47a0d9a · outbound

This paper cites Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation.

CleanComedy: Creating Friendly Humor through Generative Techniques Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.471051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.471051Z digest=sha256:fc86e3c4ff57e5e33d76fad89d91339f18254f7684074d5b67bce83e45adeeac

Observation 8ebe3ff9-6722-4d7c-8f8c-1aa751353f65 · outbound

This paper cites Methods for Detoxification of Texts for the Russian Language.

CleanComedy: Creating Friendly Humor through Generative Techniques Methods for Detoxification of Texts for the Russian Language

Reference 2021

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:17:00.562703Z

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=pdf_text observed=2026-08-11T17:17:00.372148Z digest=sha256:f6f340158c8c4d5dc2c9127449921e7a43e4e7fe12a457f561292da1866b7f16

Observation 04f1c21c-1907-4a15-a6f0-0ecfe8960975 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

CleanComedy: Creating Friendly Humor through Generative Techniques BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.445255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.445255Z digest=sha256:f6cea3e2d58a9a9dc328d59731ba06a03d7893eb3c39c165e44d522ca12e5800

Observation 2942322d-55b3-4fc2-bc61-621f284992ed · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

CleanComedy: Creating Friendly Humor through Generative Techniques SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T17:17:00.459083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:17:00.459083Z digest=sha256:834d01fe3fce833b4d91d2aba39c71b417b27187745b71864785037c2e7b719c

Pith citing papers

Observation f0ec1b63-b8a3-4c06-affa-4c50e56e9c0b · inbound

On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation cites this paper.

On the Wings of Imagination: Conflicting Script-based Multi-role Framework for Humor Caption Generation CleanComedy: Creating Friendly Humor through Generative Techniques

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T06:11:46.654689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T06:11:46.654689Z digest=sha256:794417db2da97dded6a6224eec69dcd12517232908deacf6975c21fd1f2c428c

Observation b6778469-650e-44aa-aac3-32218a79d565 · inbound

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation cites this paper.

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation CleanComedy: Creating Friendly Humor through Generative Techniques

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:45:19.187544Z

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=2026-05-15T08:42:28.685159Z digest=sha256:94e8ef9fbdf08c6724eb1f093a454411d4853fb4d7fd0a134b26aac84b16c017

Observation 67ca7e92-9489-407c-943b-da0a2a785f10 · inbound

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation cites this paper.

HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation CleanComedy: Creating Friendly Humor through Generative Techniques

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-13T22:22:41.696113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T22:22:41.696113Z digest=sha256:5c34e11c271db82ea3d4026cf7df97edb32a11d13bfe081a64c03cab2af11af3