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Paper Citation Record · LEDGER

Transforming Chatbot Text: A Sequence-to-Sequence Approach

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.12843.

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

pith.paper-citation-record.v1
2506.12843 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:42:08.091501Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

36 of 36 outbound references displayed

  • verified exact3
  • verified fuzzy21
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e5154a92-c1fe-4f42-b378-fef4e369c119 · outbound

This paper cites GPT-4 Technical Report.

Transforming Chatbot Text: A Sequence-to-Sequence Approach GPT-4 Technical Report

Reference 1

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unresolved
no resolver link, observed 2026-08-07T00:42:06.943457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8bf1991f-518e-4523-9ed9-dd4d42598557 · outbound

This paper cites Model card and evaluations for Claude models.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Model card and evaluations for Claude models

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a369df40-0640-43dc-9bf9-c6b2fc4fb280 · outbound

This paper cites an unresolved cited work.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:42:08.648859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 34a21eb1-d823-4b2e-8874-19dc20f7f96c · outbound

This paper cites Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities

Reference 4

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no resolver link, observed 2026-08-07T00:42:07.006550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 53be4a38-ec05-449d-afe0-cb7ed0f9f885 · outbound

This paper cites XGBoost: A scalable tree boosting sys- tem.

Transforming Chatbot Text: A Sequence-to-Sequence Approach XGBoost: A scalable tree boosting sys- tem

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.633766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 99d8177d-1509-4e31-ace4-de66cd67e96e · outbound

This paper cites PaLM: Scaling language modeling with path- ways.

Transforming Chatbot Text: A Sequence-to-Sequence Approach PaLM: Scaling language modeling with path- ways

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.619543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d620e036-ec69-47fd-821c-59be12d42470 · outbound

This paper cites Scaling instruction-finetuned language models.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Scaling instruction-finetuned language models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.605481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9a88929d-d71b-4520-86d2-5899e54a3580 · outbound

This paper cites BERT: Pre-training of deep bidirectional transformers for language under- standing.

Transforming Chatbot Text: A Sequence-to-Sequence Approach BERT: Pre-training of deep bidirectional transformers for language under- standing

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.591595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6dbcdc9a-dd5b-4ace-92aa-d208a2a28920 · outbound

This paper cites HotFlip: White- box adversarial examples for text classification.

Transforming Chatbot Text: A Sequence-to-Sequence Approach HotFlip: White- box adversarial examples for text classification

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.577702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8f44a74f-530a-42a8-a20e-61a157a7c2d6 · outbound

This paper cites Dis- tinguishing chatbot from human.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Dis- tinguishing chatbot from human

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.562968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 111d7b7f-2ef7-468e-9b95-d245bdd45397 · outbound

This paper cites Detection and moderation of detrimental content on social media platforms: Current status and future directions.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Detection and moderation of detrimental content on social media platforms: Current status and future directions

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.548350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation efa98f96-f981-4b1b-a7a2-5fc97013fabf · outbound

This paper cites Garrido-Merch´ an.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Garrido-Merch´ an

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.534647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:07.448326Z digest=sha256:d3f88a2337db8551599a6fca7c19c3e5704ad0da31ea3d3f08644ac1a55cc72e

Observation 1a1766ab-8155-4aae-81b7-ca447d976614 · outbound

This paper cites Devising and detecting phishing emails using large language models.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Devising and detecting phishing emails using large language models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.520357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:07.572162Z digest=sha256:f26c9181104c5941f017fe7d08e0c2283dbdb58a47cd325591c77183ce8f38c7

Observation e128aa73-c277-412b-9640-3d49921cdb05 · outbound

This paper cites AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays.

Transforming Chatbot Text: A Sequence-to-Sequence Approach AI, write an essay for me: A large-scale comparison of human-written versus ChatGPT-generated essays

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:42:08.298953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:07.656323Z digest=sha256:3acca1b0965377cd9cfe5e2d0463212b49c383d5f784e65127b96371552efb6b

Observation 4c7e0cfc-7262-4284-a179-1cacb5e40e74 · outbound

This paper cites Mistral 7B.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Mistral 7B

Reference 15

Resolution
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no resolver link, observed 2026-08-07T00:42:07.781931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:07.781931Z digest=sha256:23eb67f73424915b45a727b8cd7374f50bf5a9ac3ed4919c1d1d648fbbd889ab

Observation cf61a80b-3c9b-4d9c-9c4c-0d3ab340fdd0 · outbound

This paper cites Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings

Reference 16

Resolution
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no resolver link, observed 2026-08-07T00:42:07.826839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5ab5c7c2-828f-4bff-a994-7ff33166fc94 · outbound

This paper cites WikiHow: A Large Scale Text Summarization Dataset.

Transforming Chatbot Text: A Sequence-to-Sequence Approach WikiHow: A Large Scale Text Summarization Dataset

Reference 17

Resolution
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no resolver link, observed 2026-08-07T00:42:07.887316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eef3b7d8-39d5-4f8d-9147-c50be674b178 · outbound

This paper cites Miles McCain, and Miles Brundage.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Miles McCain, and Miles Brundage

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.506285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c2ac1a27-ce3c-4f7e-9cac-d3487fd3e51c · outbound

This paper cites BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

Transforming Chatbot Text: A Sequence-to-Sequence Approach BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.492066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:07.997683Z digest=sha256:905735ef9841c9a9d0ff90027c070a5667f380f3d4ea7f1dbc40d665d0a654be

Observation 39e9789c-54a5-4012-810f-0aa099ab9c75 · outbound

This paper cites Decoupled Weight Decay Regularization.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Decoupled Weight Decay Regularization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:08.018804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ec00e2b8-d266-45e4-ae4a-a777fc00bc65 · outbound

This paper cites Intellectual property rights and AI-generated content — issues in human authorship, fair use doctrine, and output liability.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Intellectual property rights and AI-generated content — issues in human authorship, fair use doctrine, and output liability

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.476032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:08.023771Z digest=sha256:aa37ce8d0edfc6a9a3bf6f87f0a79c0160cba0b36a803ed884145d1dff526f1b

Observation d5aff69e-e23e-4029-8ab8-97b0bd7a97e4 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Efficient Estimation of Word Representations in Vector Space

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:08.028775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:08.028775Z digest=sha256:7f60c6a0372aed320d4dc4de72497ab72f4ebc5beaac2721209131e2b762f1ce

Observation 6f7b6d96-d223-4ffa-9b8e-9af78e707d9e · outbound

This paper cites GloVe: Global Vectors for Word Representation.

Transforming Chatbot Text: A Sequence-to-Sequence Approach GloVe: Global Vectors for Word Representation

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.461321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4264b284-e1b2-490a-ac14-66e222202a81 · outbound

This paper cites Exploring the limits of transfer learning with a uni- fied text-to-text transformer.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Exploring the limits of transfer learning with a uni- fied text-to-text transformer

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.447157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:08.037493Z digest=sha256:eab6e33b3cbe9812ffeb72871bd38d66429c74b68c3f23cd7b7123d1c4b89f68

Observation 953ce060-0441-455b-b7e3-3ea6897b757f · outbound

This paper cites Adversarial Training Using Feedback Loops.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Adversarial Training Using Feedback Loops

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:42:08.201818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d97535a1-e47e-4ad0-9884-c42a7f4b8fcb · outbound

This paper cites The power of human-like virtual-influencer- generated content: Impact on consumers’ willingness to follow and purchase intentions.

Transforming Chatbot Text: A Sequence-to-Sequence Approach The power of human-like virtual-influencer- generated content: Impact on consumers’ willingness to follow and purchase intentions

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.433549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 22a33a00-b236-44c3-a1d0-2d97b9557cea · outbound

This paper cites Introduction to Machine Learning with Applications in Infor- mation Security.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Introduction to Machine Learning with Applications in Infor- mation Security

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.419426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:08.052207Z digest=sha256:f0441fdd938c574871c94f1ae7b7ae76252db4953392424f6481262a896ce479

Observation 2656efa7-9437-467e-86d7-e646f8483f33 · outbound

This paper cites an unresolved cited work.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:42:08.403547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 340ae396-e40e-4261-abbb-46f5716ebbba · outbound

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

Transforming Chatbot Text: A Sequence-to-Sequence Approach Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:08.060692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:08.060692Z digest=sha256:eab66e9dc7f39d5d474a961d1220e7c9bdb5ec4ed995f573456b0cc2b1674ef8

Observation a646d8d8-c159-4e97-ab9f-931c3425674b · outbound

This paper cites Word representa- tions: A simple and general method for semi-supervised learning.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Word representa- tions: A simple and general method for semi-supervised learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.388240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:08.064899Z digest=sha256:24e71bcac2ae1afc2bfb1419b542219ca2d94b620643451ad1cbd9f817372523

Observation a672ba30-376e-427c-96d3-39fd15a08e19 · outbound

This paper cites Long Short-term Memory RNN.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Long Short-term Memory RNN

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:08.069326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:08.069326Z digest=sha256:4d4ef1056df75b7011b67ce524dd7de7dd0561fd5c676c288439874d38cec7b6

Observation 20018ac4-e0bd-43ee-8fa8-a31fcc5ea3ab · outbound

This paper cites Universal adversarial triggers for attacking and analyz- ing NLP.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Universal adversarial triggers for attacking and analyz- ing NLP

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.374265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:08.073472Z digest=sha256:3d755977b8138f702f4c8ced2dca4755f4c429e041fc86d63b86a0c389084a96

Observation b1d9c939-7ae7-475b-9e41-748dba098478 · outbound

This paper cites A survey on LLM-generated text detection: Necessity, methods, and future directions.

Transforming Chatbot Text: A Sequence-to-Sequence Approach A survey on LLM-generated text detection: Necessity, methods, and future directions

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.359876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:08.078062Z digest=sha256:1439e6c29b64170c61bcad3b02380de8da1f8bb3e311be6264d7a33541c658ce

Observation 3509dd5c-8093-42ec-b597-d68f0d3f2110 · outbound

This paper cites Multi-layer Perceptron Trainability Explained via Variability.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Multi-layer Perceptron Trainability Explained via Variability

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:42:08.149830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:08.082414Z digest=sha256:d96a521422f4becd2eb24959c289ae088c4d18eebb97647de4adb5f372868102

Observation 2908c32e-0c96-4f04-8231-2df73864a7c9 · outbound

This paper cites Defending Against Neural Fake News.

Transforming Chatbot Text: A Sequence-to-Sequence Approach Defending Against Neural Fake News

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:08.086829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:42:08.086829Z digest=sha256:ff1ac5a9683ac966c4e4319ab3a524ffda2a26bf1e68447476106b5d47e4ac91

Observation ef26c9e2-39d1-42c8-8d43-eeffa9391c94 · outbound

This paper cites I wish I had not given up my evening plans to watch my sister’s children. I really needed that time to relax and I feel angry at her for asking me to give that up.

Transforming Chatbot Text: A Sequence-to-Sequence Approach I wish I had not given up my evening plans to watch my sister’s children. I really needed that time to relax and I feel angry at her for asking me to give that up

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:42:08.344574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T00:42:08.091501Z digest=sha256:afcf97fd650846a5c47bef923fea409c43e6092af1e22e41d888947e347191ac

Pith citing papers

No inbound Pith citation observations are available.