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Paper Citation Record · LEDGER

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling

As of 17 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 3 inbound Pith citation observations for arXiv:2505.06184.

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

pith.paper-citation-record.v1
2505.06184 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:51:32.148833Z

measured 45 of 45 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 2026-08-07T05:34:39.272254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T03:42:01.423924Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy5
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0fdd8dd9-b11e-4cfa-9911-30b0feb1cc80 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:31.958745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:31.958745Z digest=sha256:1dcc15ce5c2435dcdda40ff8042d0be6b5ad7356b76f0d7571ede08202cb8345

Observation cec763a9-e710-4052-961a-f822cb724035 · outbound

This paper cites write newline.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:31.964066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:31.964066Z digest=sha256:9c541ed189752da263ba6b008fbc1914b7a40be75da17e6ef6dcc321e04e828c

Observation 38673a74-dbc1-4bdb-be3c-763c73babb12 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.837405Z

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=2026-08-15T22:51:31.969790Z digest=sha256:db5858898d8fa107de185fd0de94541129e10344299b15f91bcfda9023a0060f

Observation dbc0f44d-35c6-4a52-93f0-536d72b0ed34 · outbound

This paper cites W.; Pearson, R.; and Kellermanns, F.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling W.; Pearson, R.; and Kellermanns, F

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:32.819662Z

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=2026-08-15T22:51:31.977297Z digest=sha256:334f7b69494873908d80eb5087845331f86cc8568aa89652644cbb6b5ddad326

Observation d7412e81-b321-429f-a319-b76332c0bc55 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.804652Z

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=2026-08-15T22:51:31.982209Z digest=sha256:d486900248b61ad56c511e15edd7e6cfb3dce2622c7a6ac27aa170a1d732cf75

Observation 98904709-da72-41c3-8a18-870883e72e85 · outbound

This paper cites D.; Guillaume, J.-L.; Lambiotte, R.; and Lefebvre, E.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling D.; Guillaume, J.-L.; Lambiotte, R.; and Lefebvre, E

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:31.987432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:31.987432Z digest=sha256:33ad1fd80933254120e4069461c3de278eb3fc0f3e2b49897eac4c26e2654161

Observation 7d18abb5-8a5f-4c3f-9d8c-bc1fd7f12729 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.775952Z

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=2026-08-15T22:51:31.992175Z digest=sha256:0459aa478d2447f091c3efe1ffca2dbfda120d6e7928daeea8d743917e623aef

Observation 27bb45ae-24b1-4bbb-92b1-6eb689ec9ff5 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.761157Z

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=2026-08-15T22:51:31.997624Z digest=sha256:f2898a68c2c95ea46f1c74e7f2660c43f12dfe7da6dfb6bc15581de07545d602

Observation 574c4dbc-a33a-479f-b295-9eacbf9e0efd · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.002779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.002779Z digest=sha256:1b31369dfc2e0d884b6aefc9ac43980850974315808f81146f1d4dfec1b45c69

Observation 5c051a85-11a9-44db-a153-d9bf324641e8 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.747322Z

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=2026-08-15T22:51:32.008420Z digest=sha256:581bab1cfb8fdeb2fcd1b3d3a20ea6f3aa6d830fcde58dd190c99a169b2b7f04

Observation 77ea4e0d-4981-4fd1-b576-eadaa1cb8917 · outbound

This paper cites Large Language Models for User Interest Journeys.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Large Language Models for User Interest Journeys

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.013140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.013140Z digest=sha256:dff0d252dc4e0c67ea6d4fdabf407091f79d7dfa8db8324fa69d921b3244f2c5

Observation 5a743875-ef27-46cb-b26a-e5b5bae99fbf · outbound

This paper cites O.; Goya, D.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling O.; Goya, D

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:32.731972Z

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=2026-08-15T22:51:32.018349Z digest=sha256:849f92e1d76bf22a872d6567ff494f314a49c21baf702ea66b4bda0387f3ca3e

Observation 00b7be9b-a865-4ce3-ac96-38ebd385bfce · outbound

This paper cites TSSuBERT: Tweet Stream Summarization Using BERT.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling TSSuBERT: Tweet Stream Summarization Using BERT

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:51:32.359883Z

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=2026-08-15T22:51:32.023676Z digest=sha256:d9bd93b87013250ebf443bb888ee5e97f33b14387b11f54e69633a94e1e87f98

Observation c3c46ef0-0319-4585-9213-3c6e91068afa · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.717599Z

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=2026-08-15T22:51:32.028362Z digest=sha256:750d4f3e3752918b856139ce3b8327f2e8a1f4e21ec682a779f9f030ada0934f

Observation 2d7af7f8-9330-4435-8296-532096fbaa2c · outbound

This paper cites M.; R, P.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling M.; R, P

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:32.703937Z

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=2026-08-15T22:51:32.032758Z digest=sha256:c5e5ad6e2b11d23187943d23fe9e5dde0928f6292bf7ab7eb179a3d4ea2a18c7

Observation 059c7e13-2916-475c-8dc0-b164d4b53e8f · outbound

This paper cites S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.036942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.036942Z digest=sha256:e50ba6c6c6c9e2700c47c3dec2ed2ff8cbebe75041b373385135c847c7b2b003

Observation db51f7e2-4245-4a58-a537-72a143abdbd0 · outbound

This paper cites K.; Chakraborty, R.; and Dandapat, S.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling K.; Chakraborty, R.; and Dandapat, S

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T22:51:32.690543Z

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=2026-08-15T22:51:32.041455Z digest=sha256:feff8d87502a0f039f021682439a63a672c5174df768a88018e4ba6296edfc90

Observation 783a4b82-a431-44c9-968b-be7ee6045c87 · outbound

This paper cites News Summarization and Evaluation in the Era of GPT-3.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling News Summarization and Evaluation in the Era of GPT-3

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.045724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.045724Z digest=sha256:8d08c17186a495bdf729e95525827f9971152305829a94d90b0b81c29830f90d

Observation de13dbd5-46f7-4f7c-9ad4-73aa90f046a0 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.676598Z

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=2026-08-15T22:51:32.050689Z digest=sha256:06a868289a14a47a33a732c310d2baad41b6cc0622447306d9c9ec0cc6cb9249

Observation c6f3e276-4788-4e05-ac31-5abc3a0d27c5 · outbound

This paper cites Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Data.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Social-LLM: Modeling User Behavior at Scale using Language Models and Social Network Data

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.055798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.055798Z digest=sha256:28bc7c434eddd36906deab44c67607959dc6d385b9ed3faf1cafadf6858d1789

Observation b8583625-a49d-4a02-9eea-0630ae0c102b · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.654327Z

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=2026-08-15T22:51:32.060627Z digest=sha256:d27b65de879aa2c392af2be199c7d553be38d1ea9f67f594b015b94cdbeb6601

Observation 6ea07ab0-e4b8-47d4-99e7-dc85f80d7c71 · outbound

This paper cites User Profiling Trends, Techniques and Applications.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling User Profiling Trends, Techniques and Applications

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:51:32.291191Z

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=2026-08-15T22:51:32.064745Z digest=sha256:3f3ad772d37f64aa900413b02f93a62336a1a68bfd44596a03ffbe0375e9fde5

Observation ef33a090-9fb5-42ea-9ea2-ddd58c20c8a5 · outbound

This paper cites F.; Lin, K.; Hewitt, J.; Paranjape, A.; Bevilacqua, M.; Petroni, F.; and Liang, P.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling F.; Lin, K.; Hewitt, J.; Paranjape, A.; Bevilacqua, M.; Petroni, F.; and Liang, P

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.068941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.068941Z digest=sha256:e3edaa75987ca6fdc9bb3840099e0acf668c818ee317493eb10c13214c4c1bb1

Observation 3679c7f0-73af-4ab8-8a2d-94a1545ce713 · outbound

This paper cites LLM aided semi-supervision for Extractive Dialog Summarization.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling LLM aided semi-supervision for Extractive Dialog Summarization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.073017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.073017Z digest=sha256:42243717ab24edd431ea966f3d5574b6ee176d3494e36bf5c982bf8193c86d39

Observation 70587ca2-f402-4299-86d0-191283153df2 · outbound

This paper cites Summarization is (Almost) Dead.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Summarization is (Almost) Dead

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.077308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.077308Z digest=sha256:9594e087d9017187f595656de685f21a9e272fd0cdd47bea5ef411d73d620710

Observation 2219befe-c202-4bf1-b965-64d4cdf76750 · outbound

This paper cites User Modeling and User Profiling: A Comprehensive Survey.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling User Modeling and User Profiling: A Comprehensive Survey

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.081255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.081255Z digest=sha256:0acf4e1c66a455f974baeb75e175c14c23f1c24afa7fcf37689171eff7a22173

Observation a3a663b1-2aca-4de4-bd5b-c781a15f03a5 · outbound

This paper cites Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.085445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.085445Z digest=sha256:d3a163cbc27a92ee5b3e803cb727dcb0895e7275d66853a0c294add364201196

Observation f06b61f5-f5b4-425c-8080-63c244d4d2f1 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.628814Z

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=2026-08-15T22:51:32.090432Z digest=sha256:aedc193f8e05c1fc578e756565ab60fea90660f03c0f16233c04287282e63486

Observation a651354b-ea09-4e1c-bb7d-f1b0956d67ba · outbound

This paper cites TookaBERT: A Step Forward for Persian NLU.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling TookaBERT: A Step Forward for Persian NLU

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.094447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.094447Z digest=sha256:90c149e1a1ecc4c502e92dc179a385e21de6e6c907c57b2a932f32be4da6c0d6

Observation 3cf44be7-e6a3-45c7-9b59-d4ef89477f36 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.608706Z

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=2026-08-15T22:51:32.098599Z digest=sha256:cbc36d6d2819d67ebfb2537319162a07566e2660aa848ca1d8277a5e8a8454a6

Observation ee6da2b7-f4c0-48d1-ac54-9c60994fba46 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.593610Z

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=2026-08-15T22:51:32.102803Z digest=sha256:fda6690db86a83ee2ca1b9d86c61fcea73073c57025c20460794b92d7070df77

Observation 22949dc1-6453-407e-91d1-d883b84edcd5 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.574332Z

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=2026-08-15T22:51:32.107323Z digest=sha256:8bf912b4935e9ee2dcafd3bdb2342f3a8bee170bb9eef37898b7587c4e92eedc

Observation 0faaffbd-6a65-4f1a-871c-4e655fbcd322 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.558481Z

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=2026-08-15T22:51:32.111200Z digest=sha256:2dcb92e4a63c5a3190c8d5dc7898c758f3ae1fe9bc8a17b555012bf8465a38fc

Observation 7c767640-63a5-4da6-b34e-89b544ee4cab · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.542229Z

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=2026-08-15T22:51:32.115650Z digest=sha256:083a9596993032faa4790cdfa5448ae68542008bddbd7717387d0fa16d77c928

Observation 01b58f63-c8cc-49e5-bb9f-db3c1a2285a9 · outbound

This paper cites Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.119534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:51:32.119534Z digest=sha256:15c3cd00790d70a2652c86f3d675a998f9be06ba52c748b21d18cd0b0d9fe4f8

Observation ad48e4b7-26ac-49d7-a338-13bddbc05397 · outbound

This paper cites User Modeling in the Era of Large Language Models: Current Research and Future Directions.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling User Modeling in the Era of Large Language Models: Current Research and Future Directions

Reference 36

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 199ea6c9-9795-470e-bbf4-68654907f8f4 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T22:51:32.128480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dc95f106-1f6c-4309-86e0-14d11d251ba2 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.502338Z

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.

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Observation 863fbe24-ce92-43b9-ae7b-7c79c69d17c3 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.479559Z

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.

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Observation 3efe814a-cfd2-4624-aadd-7406c396a115 · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-15T22:51:32.460228Z

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.

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Observation 82705988-ea13-4b41-a5bc-88ba63480bb4 · outbound

This paper cites T.; and Foster, J.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling T.; and Foster, J

Reference 41

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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.

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Observation 5f81b3b0-7d93-4bd8-819e-a250818bf9ee · outbound

This paper cites an unresolved cited work.

From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling Unresolved cited work

Reference 42

Resolution
unresolved
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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.

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Pith citing papers

Observation d3a9b4bf-c4ad-4cb1-b9dd-710e013677a7 · inbound

PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels cites this paper.

PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 98e36282-3f32-4b1f-b275-8a17fec2b6b6 · inbound

Synthia: Scalable Grounded Persona Generation from Social Media Data cites this paper.

Synthia: Scalable Grounded Persona Generation from Social Media Data From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling

Reference 13

Resolution
verified exact
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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.

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Observation 122f6e2c-7f3c-4ca5-b005-1dccb0e57161 · inbound

Bridging Textual Profiles and Latent User Embeddings for Personalization cites this paper.

Bridging Textual Profiles and Latent User Embeddings for Personalization From Millions of Tweets to Actionable Insights: Leveraging LLMs for User Profiling

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:56.667736Z

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.

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