Paper Citation Record · LEDGER

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2505.15071.

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

pith.paper-citation-record.v1
2505.15071 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:28:23.668741Z

measured 26 of 26 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

26 of 26 outbound references displayed

verified exact0
verified fuzzy11
unresolved14
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2174b39c-6b0f-4a45-9050-b6133be31ba8 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:26.374562Z

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.

Observation cbf0482b-5aee-4f9c-a843-7c38cdbe7e91 · outbound

This paper cites Table 1 summarizes the data statistics, while Table 2 provides a specific case from our dataset.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Table 1 summarizes the data statistics, while Table 2 provides a specific case from our dataset

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:28.401121Z

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.

Observation dd9fe9e9-9842-4fc4-bce0-bd626253d192 · outbound

This paper cites For example, whether a word is a noun, verb, or adjective, and its relationship with other words).

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content For example, whether a word is a noun, verb, or adjective, and its relationship with other words)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:28.134263Z

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.

Observation 6343d90a-a919-423e-8f7b-e205d3bda109 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:27.969860Z

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.

Observation d8f9557a-e034-40bd-b3fd-7038a233a024 · outbound

This paper cites For example, linking the word ’dog’ to animal categories with specific characteristics).

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content For example, linking the word ’dog’ to animal categories with specific characteristics)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:28.255884Z

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.

Observation 7f570984-13c6-4ad1-bcff-4ef20aedecc3 · outbound

This paper cites rubrics (outlined in Table 17).

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content rubrics (outlined in Table 17)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:27.666932Z

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.

Observation d9ecb085-58c5-4e88-9912-35bfea3e6c5e · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:27.830007Z

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.

Observation 62869c37-cc74-4f8e-9070-d48a9105604e · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:27.532797Z

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.

Observation 9554bb65-64f9-43ce-9c37-e175a5f50311 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:27.377719Z

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.

Observation d99e2ae7-d851-449e-acd1-97d09200d4ed · outbound

This paper cites 词语": "[BUZZWORD].

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content 词语": "[BUZZWORD]

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:27.194463Z

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.

Observation 27258c2c-44c1-413f-9db6-b5ed7a038dc9 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:26.948786Z

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.

Observation b9ff9fd2-a730-4c22-9c32-465eebab9149 · outbound

This paper cites Win/Lose/Tie.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Win/Lose/Tie

Reference 15

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:28:24.006043Z

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.

Observation 70ebb687-d101-4a50-9cd4-00e9c82e350f · outbound

This paper cites Break down your reasoning into progressive logic to achieve a comprehensive understanding.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Break down your reasoning into progressive logic to achieve a comprehensive understanding

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:26.816337Z

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.

Observation aa813030-0917-467e-a44d-4590b268c81b · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:26.685749Z

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.

Observation a4e94f67-a61b-47db-b883-6d1743418464 · outbound

This paper cites Word": "[BUZZWORD].

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Word": "[BUZZWORD]

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:26.540869Z

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.

Observation 44992c40-49de-4a03-b24a-a673eaddd4cb · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:26.219547Z

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.

Observation e0fe9386-07a0-4234-a569-101926e44741 · outbound

This paper cites 词语": "[BUZZWORD].

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content 词语": "[BUZZWORD]

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:25.934400Z

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.

Observation 1ea540de-46c6-4fcf-a4d3-1be382646d50 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:25.691508Z

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.

Observation 3942f8bd-36cb-4ba8-be17-1b9d0eae307d · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:25.419452Z

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.

Observation e5a57d8d-b29c-4bf0-90c1-73440ad79edc · outbound

This paper cites Word": "[BUZZWORD].

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Word": "[BUZZWORD]

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:25.137992Z

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.

Observation 77d445ed-cc67-4c6a-a8da-0eb1f5512869 · outbound

This paper cites be careful,.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content be careful,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:24.845118Z

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.

Observation e61afa49-ac98-42a3-aadb-b11c4b9f5632 · outbound

This paper cites an unresolved cited work.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:28:24.575613Z

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.

Observation ec6585b1-cf8e-496f-a408-0739a3d10341 · outbound

This paper cites 准确性": [INT, WHY],.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content 准确性": [INT, WHY],

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:28:24.287953Z

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.

Observation 4b16303c-0237-413f-a857-c9684f1ef0f2 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-07T15:28:20.457500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d0db229-35b7-4981-beb4-eb22c554de01 · outbound

This paper cites LLMs' Understanding of Natural Language Revealed.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content LLMs' Understanding of Natural Language Revealed

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T15:28:20.572789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 630a0b28-3a4f-4d90-a89a-9d3f0c8e39cd · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Can Large Language Models Understand Internet Buzzwords Through User-Generated Content DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:28:20.354452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.