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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.313801Z digest=sha256:18d610d40e551a574ebc96fb10bccf10f27f2ad7c4d21ffa6875f0b2a70c5e8a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.319284Z digest=sha256:4a97159102607bd36a36492be914a9a48a24375e6ac5e4045dc9f736124effa6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.323676Z digest=sha256:ff7f04b52a4718820640e79640c0ddfe298a82805f8e6fc5eba97e62402d7c7a

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:db97f02bbc97e6a69eb01063f19c38316d0a57c7b5d68858f9d9e35356a3850f

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:dbbf9eb6f13ce3391dd8d6367a2dcbb3cb99ee6ea6643c50aea217bd3d889644

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.338285Z digest=sha256:17623dc1bbd51e575dd24600f6b3b202546d051b38acaef508691cdd937c59e6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.342969Z digest=sha256:984a2e6d32a7417b2824ed9b01b9dc6d9c5b66104faadd19c35618321c3b6cd4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.347510Z digest=sha256:de6be659865e0e794b5b4c92d0138a98459706820a7b4254cc4c4ef428ac3663

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.352579Z digest=sha256:0a2548de245103946d872aef718dcc9c2a4891b62de63e653dc8cb3b83110136

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:fe46f98f9bfb2637e3faa59f95f3aa005a6582c3b90e27b49224328a72d971d9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.361967Z digest=sha256:f9fc86d853a673938d56235b808aca8277a932496ee7bad7a942a960b2ef6706

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.366542Z digest=sha256:2895705d9178a46834fc781747d5812e6eecd750f3bc923330c156bf2365b7dc

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.371131Z digest=sha256:3a64e40ff60a58b94e76930d72ba1b5fc38d2206d02fcf2752041f74465c34f7

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.375998Z digest=sha256:70458b541e5d190ec2a2a78e91420f4707f6b31da9bc91666fd08b22c7c94b2c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.380776Z digest=sha256:f56a6de04939efcfa7f1d80433907ad109b22a25ce1f9bc56bb7d365777bee64

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:cb866974c56bad24e66d764102354649f1c73d976cc10371ed5274e617b6e080

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:fadf5351a90a200b0a1fe6789b78738977fb13b4dd59578cc7c31f10cd1db971

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.397748Z digest=sha256:e6e6610c424671865301f4681c74d29075b3dbe0c6a269e0e123d653ccec294c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.403060Z digest=sha256:9a7294b8a2903d5b7eeb499287aff56e4abb7cce535da32f58ddaf041ea70ad8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.407911Z digest=sha256:1c4d7c5120afbc4e3f439d3f7cc27971d56d2e65940e846024da74497c6f3c34

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.412986Z digest=sha256:2fc136b21383a06f3b9653624493536674bc57e751cb0aa0a8d5e10f9cb7fe4a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.418622Z digest=sha256:df2facbb91b563b817e051bf269f9dad9d53fe558a914bc66091950d8facb840

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.424609Z digest=sha256:fda0252a0ecd48be67747735ded9424f5fb03b87ce192417134e5867948b0c5d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.429357Z digest=sha256:f3f024db981eb0cb6a10d0b3185a15bc3e15e1adedaa39f64f94fc0225dbde1b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.434920Z digest=sha256:fbf33e52f5195f41d93047e1aa12ceb22d6d7175b81e0b4b7623fbde8898f018

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.439206Z digest=sha256:2bf99ac94bd987c26b239dd7ec0cce6fbb15091d457936adbac8c1d33033cba6

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.443329Z digest=sha256:41b6e92b546745f010f29508ad5ab7fcd8e65c55af3ce67c6f374d443592ddaf

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.447548Z digest=sha256:a35889d9652c0b1566ed16d02b4f35c6c61ce47921f8920831c93309010084b0

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.451752Z digest=sha256:66ba9cc505acc1ce6611134f18b0ae3ac7b651b0477c05834b9e804081252f3d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T21:00:06.455867Z digest=sha256:297b4223bbb9dab0dccdff4e60160beb6442e4e372f0a40042d3b1e17c484338

Pith citing papers

No inbound Pith citation observations are available.