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Paper Citation Record · LEDGER

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses

As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2501.06597.

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

pith.paper-citation-record.v1
2501.06597 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:00:06.455867Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b17ff67-10f2-45f5-a4ac-2564522bca37 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.287005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.313801Z digest=sha256:a31ebc08da8c78dbbf21ac5c3997d409a586d601377ac605521c48ade613e548

Observation 0eddc58a-9baf-4678-a6c4-cb6ba07ec539 · outbound

This paper cites Available: https: //www.cloudflare.com/learning/ai/what-is-large-language-model/.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Available: https: //www.cloudflare.com/learning/ai/what-is-large-language-model/

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.272131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.319284Z digest=sha256:a84f905b407e705e7ef19a99bb04247e0f437f8d83c7304c0ea8b5c562813cb6

Observation 146865ef-fde2-4394-9da5-de7aa11dd208 · outbound

This paper cites Alpaydin, Machine learning.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Alpaydin, Machine learning

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.256825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.323676Z digest=sha256:7b275b00981eec5fe5c8154c430c4ce06166655b9e38dad856ff7c0c1713a2cb

Observation 02e69c92-ebae-459d-8b20-80e8f317e54e · outbound

This paper cites Generative ai,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Generative ai,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T21:00:06.328800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:00:06.328800Z digest=sha256:874689b2f317600b1964d3f3497c4bcca8d18a0fd42cb2b4918d5aa6a66d50cb

Observation 22c7b7e3-30e3-4df0-94e5-dc4d4a0e965a · outbound

This paper cites Unsupervised sentiment analysis with emotional signals,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Unsupervised sentiment analysis with emotional signals,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T21:00:06.333515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:00:06.333515Z digest=sha256:65779a85cd96e2f93c7ca48f8062653dbe80b03c46ef70ced9989c0fbc58251b

Observation f90d9486-68c2-4341-9aee-1c8f257d0273 · outbound

This paper cites Homophobic and hate speech detection using multilingual-bert model on turkish social media,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Homophobic and hate speech detection using multilingual-bert model on turkish social media,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.230825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.338285Z digest=sha256:f7af669170d68b1f4965512d6a3ae544311aab1fe4153a741d48c02790120b56

Observation 9db38322-ad4e-428c-ac1c-7bce0ceaa0de · outbound

This paper cites Comparison of bert models and machine learning methods for sentiment analysis on turkish tweets,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Comparison of bert models and machine learning methods for sentiment analysis on turkish tweets,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.214061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.342969Z digest=sha256:3ffb022f73667f4ca4750745ef46539a3087bc83c67119e0f958702bb94bd2b5

Observation 44161925-9ba6-44d3-ab58-bb12b8703fd9 · outbound

This paper cites Review of research on text sentiment analysis based on deep learning,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Review of research on text sentiment analysis based on deep learning,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.195202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.347510Z digest=sha256:eff38cc2fd605bf5b952acd115bca199db23e4b890e6903a930fa380ccd21f45

Observation 1dfba4a1-4d3e-41fe-9208-b154758fde28 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.177755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.352579Z digest=sha256:7d29bf8356598855f37854dc8dc0f434156bb0fb541b2c3a1b2f8e137f80129e

Observation a029ac3a-a4e2-4489-86e7-46bc25100fa8 · outbound

This paper cites "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses "I think this is the most disruptive technology": Exploring Sentiments of ChatGPT Early Adopters using Twitter Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:00:06.356913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:00:06.356913Z digest=sha256:33b7b23bc5164c77d89e9e163eed179512901eefc6ea38c8ad87547b7d602f5b

Observation 03a63347-55ff-4a5a-a0ba-f11212ced764 · outbound

This paper cites Public perception of generative ai on twitter: an empirical study based on occupation and usage,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Public perception of generative ai on twitter: an empirical study based on occupation and usage,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.162787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.361967Z digest=sha256:ed073548123cd11378c1bb694af6a494060e0d5134c1185eee958154cafea008

Observation 27018bb5-3f1a-4dd9-becc-7f0a221b6cdf · outbound

This paper cites Analyzing the user’s sentiments of chatgpt using twitter data,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Analyzing the user’s sentiments of chatgpt using twitter data,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.146064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.366542Z digest=sha256:c5eada4c86218c3a8d595150328fb6ee23fb46b3a894248fadf087d985d240f7

Observation 22fa2cc2-113d-444f-b254-4e928b8cd688 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.130059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.371131Z digest=sha256:925a139468ae8476aa76d7d991d74336cda676b16550549bda197c42068b8878

Observation 38549b44-4b35-4e68-91ce-0d16502dc067 · outbound

This paper cites An unsupervised fuzzy clustering method for twitter sentiment analysis,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses An unsupervised fuzzy clustering method for twitter sentiment analysis,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.113597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.375998Z digest=sha256:cd3b56c9c9224ea6db7238e3f1d33806ddb53e532cc94161912ec760801bf4fd

Observation 0e49410c-42eb-41dd-ae6b-68f90b21e742 · outbound

This paper cites Twitter, myspace, digg: Unsupervised sentiment analysis in social media,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Twitter, myspace, digg: Unsupervised sentiment analysis in social media,

Reference 15

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T21:00:06.782269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.380776Z digest=sha256:47f89991c918edf208c0fb448b719af27dc92f85a34a595514a3b4a9b3410611

Observation 668e6e40-2b46-4689-9b0d-75a9b84ef0a2 · outbound

This paper cites Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Silhouettes: A graphical aid to the interpretation and validation of cluster analysis,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T21:00:06.386876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:00:06.386876Z digest=sha256:d9bdab1e079d2db3ab0c81e315bbd99e8d9bddbc99096c9902bc44b0f44db925

Observation 3bf9637a-83c9-4d32-b11f-179bd34bb91a · outbound

This paper cites Visualizing data using t-sne.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Visualizing data using t-sne

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T21:00:06.392487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:00:06.392487Z digest=sha256:a79c031896fb18d6e38b86a7a30f5fdd9bea27e1c0ad63dbee4242b18bb5811d

Observation 262dc976-a340-4f98-9218-24468a4bfdbb · outbound

This paper cites A survey of text representation and embedding techniques in nlp,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses A survey of text representation and embedding techniques in nlp,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.086667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.397748Z digest=sha256:9b4723d7c8fdcb9e9321eb52092ccf59cf5bc2d63fa228b543861f8771b2cbac

Observation 4800e6d6-36f6-4446-947e-5c0848f6579d · outbound

This paper cites Euclidean distance mapping,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Euclidean distance mapping,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.071372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.403060Z digest=sha256:0aa1a22a3f9b5dd92e08eae96a6a716feb22bf77db194fffa1347391e0a23974

Observation 22542367-230f-429c-bf87-07f7a29f5346 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.056129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.407911Z digest=sha256:467512ffb29bf63f9e45a86299572ad0ec4ec50ddfd6a4251b741d6705f7cf58

Observation 69312939-fde1-485f-8680-107f74361b99 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.040827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.412986Z digest=sha256:3141233747d1f67f730c53522844a9af4647ed9974433b4d3360d62edea8a07b

Observation 1553e9da-658d-41e1-aa1c-124b1e816b08 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.025113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.418622Z digest=sha256:d8e764c40cf313b358aee2d955f98065e2e55cc5a285190aa94957b833d013a1

Observation 78688aab-1772-4831-981b-291c22080985 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:07.008682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.424609Z digest=sha256:e2cd175923edeb041d876897ec2b17a1a46fe901f22efafb453727dcd225b3f0

Observation 8efc0cef-ed59-4708-afa9-c8fd6388ecd2 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:06.992879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.429357Z digest=sha256:9431305db3557f603d12599fa0931931600da2f8767e202e8adba8ad6e612cac

Observation d25588b6-b617-49b1-b268-3a80d5bf9aff · outbound

This paper cites Matplotlib in python,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Matplotlib in python,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:06.975786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.434920Z digest=sha256:9dff68ad26332c833a229085650451855ebc8723cc9d9c853fc2e9cc772caee3

Observation ae12fd5e-4495-4cdf-87db-5c0aa3227fbf · outbound

This paper cites Extracting implicit programming rules: comparing static and dynamic approaches,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Extracting implicit programming rules: comparing static and dynamic approaches,

Reference 26

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T21:00:06.617934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.439206Z digest=sha256:31dada49f717ce3ce5514892db05b0a5454a3673210b7a358893f5cd0a7b3c65

Observation a2acd5b1-8c35-4d66-81b1-361917655417 · outbound

This paper cites Netminer: Identifying failure-inducing patterns in the logs generated by network monitoring software,.

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses Netminer: Identifying failure-inducing patterns in the logs generated by network monitoring software,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:06.959709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.443329Z digest=sha256:ee6e5c55e4e4fa0894fa487ae6548353977513f99ee2430bcf43295cdb61dfc0

Observation bee7c15f-32a9-4ca0-8a5c-2369138a1e83 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:06.943356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.447548Z digest=sha256:a9555a718007aa6258b3794011a40f99f38b5400074ccc40c0f8bb10cac39edc

Observation e3027345-8980-4568-8107-de0c98711bc1 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:06.927267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.451752Z digest=sha256:1308b9742287e26a1ca9870ee0021ddbd0a600a4235e51fdc2f1f051f2b5c3b1

Observation a67a8c25-f86e-4ff2-bea2-32f4797bac76 · outbound

This paper cites [Online].

EmoXpt: Analyzing Emotional Variances in Human Comments and LLM-Generated Responses [Online]

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:00:06.911485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:00:06.455867Z digest=sha256:d9d9c8034d28d013081cf57129c67a6fcddf5cd1b6437f8b4b6e4ae3fa5f9cb1

Pith citing papers

No inbound Pith citation observations are available.