Pith. sign in

Paper Citation Record · LEDGER

Quantile Regression with Large Language Models for Price Prediction

As of 20 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.06657.

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

pith.paper-citation-record.v1
2506.06657 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:58:20.399426Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3146ceb6-72df-4200-a3a6-8450c6351b23 · outbound

This paper cites an unresolved cited work.

Quantile Regression with Large Language Models for Price Prediction Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:20.677208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.380374Z digest=sha256:95e5d4f12fda5c11940c5bdc1a4b2ff58bbd9238fe22ee7f02ecb6d987819c65

Observation 84b42738-22ce-4b2b-849d-e3439565e8ad · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Quantile Regression with Large Language Models for Price Prediction Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.315207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.315207Z digest=sha256:6f70bcc803b07e2060903ad35ebe81dee1cb7b1135667b406b9ea5a7e52fda40

Observation b342ab61-052c-4e72-8830-6ecb9fcf510e · outbound

This paper cites Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models.

Quantile Regression with Large Language Models for Price Prediction Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:58:20.553064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.320237Z digest=sha256:fc9086c8dfbc6ce5a533ce9bf89f752312ce0e1105307c3afc927178be17a52b

Observation 8a9bf4fc-575e-49b7-928d-dd3eb201fccd · outbound

This paper cites Qwen2-Audio Technical Report.

Quantile Regression with Large Language Models for Price Prediction Qwen2-Audio Technical Report

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.325154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.325154Z digest=sha256:8f87c0d3dbd3557838d5464c9f4302588cac36be7d1f29d5df8b1f12aebc5d79

Observation 4f9f4a74-75fb-465d-8cce-950d4596eed3 · outbound

This paper cites In 2024 8th Interna- tional Conference on Cloud and Big Data Comput- ing.

Quantile Regression with Large Language Models for Price Prediction In 2024 8th Interna- tional Conference on Cloud and Big Data Comput- ing

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:20.741758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.330196Z digest=sha256:cc9f3f5b0a49c3ab390745b980e7782ff8b3eacca4ce3ab958a01f27563a750b

Observation f9594f25-fd95-4545-8b7f-05e665a88fac · outbound

This paper cites In Find- ings of the Association for Computational Linguistics: EMNLP 2024, pages 13667–13678, Miami, Florida, USA.

Quantile Regression with Large Language Models for Price Prediction In Find- ings of the Association for Computational Linguistics: EMNLP 2024, pages 13667–13678, Miami, Florida, USA

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:20.725354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.341066Z digest=sha256:60ef9c68db8f61505b0384dbbfa1d4d2417541a93e0afb5f0eef3e2ca660fe57

Observation 04be9330-f596-4deb-9b9d-e2f77bdf633c · outbound

This paper cites GPT-4 Technical Report.

Quantile Regression with Large Language Models for Price Prediction GPT-4 Technical Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.350192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.350192Z digest=sha256:2c034b5385ff411e541f1bbd22b5b1fe4ca37a1b4ebd12977e964708a7fbbb8e

Observation a2572d4d-655c-4f2c-b884-1769239c6ad2 · outbound

This paper cites EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection.

Quantile Regression with Large Language Models for Price Prediction EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.360169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.360169Z digest=sha256:59fcd1ce88783ee1918e55c3fadc14d9182394b9cd3cfaa872b791051c05c9de

Observation 4c092f70-5544-4a5d-8b58-2a7377cac9ba · outbound

This paper cites OmniPred: Language Models as Universal Regressors.

Quantile Regression with Large Language Models for Price Prediction OmniPred: Language Models as Universal Regressors

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.365065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.365065Z digest=sha256:4be1cfae770178ed8c2f133b7d7671e77de5f228eff3ed16c354267012eb59d2

Observation 89032149-ea85-4d30-afb3-6253b2e3a706 · outbound

This paper cites Understanding LLM Embeddings for Regression.

Quantile Regression with Large Language Models for Price Prediction Understanding LLM Embeddings for Regression

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.369876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.369876Z digest=sha256:f68fe2f536426845df043c566435faa933898dda59c185a32518a6cb1bd0ea28

Observation 8e8d96e6-79f9-4a28-b7b8-f257af486686 · outbound

This paper cites an unresolved cited work.

Quantile Regression with Large Language Models for Price Prediction Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:20.694170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.374545Z digest=sha256:5450d8198c522110e313f29a9f073aaa543a5f626743a75cbe2355546bac4f2b

Observation 74c0b461-6f75-4f6c-a3ca-6cdcf56c07d2 · outbound

This paper cites Few-shot SOTA LLMs: We evaluate the zero-shot and few-shot performance of two state-of-the-art LLMs, Claude-3.5-Sonnet and Nova Pro (Anthropic, 2024; Amazon, 2024).

Quantile Regression with Large Language Models for Price Prediction Few-shot SOTA LLMs: We evaluate the zero-shot and few-shot performance of two state-of-the-art LLMs, Claude-3.5-Sonnet and Nova Pro (Anthropic, 2024; Amazon, 2024)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:20.647144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.389900Z digest=sha256:2c7d981eb4d0334d9cd0e7e49e94799befe2526b485ed7189463ff05bf75a283

Observation 22026da3-4ebd-4456-93c1-c44c230322ce · outbound

This paper cites an unresolved cited work.

Quantile Regression with Large Language Models for Price Prediction Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:20.631143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.394855Z digest=sha256:2aa8e13ba7135deb38ae4cbd49380815cb4c50f6da26ac673470df83c81787b1

Observation 4d53a914-c580-42e6-8b1a-e3b7d8d8a0e1 · outbound

This paper cites Unimodal Distributions: Products such as the Merritt tumbler, Toyota Corolla, Ford Mustang, and wedding guest book exhibit single-peaked distributions.

Quantile Regression with Large Language Models for Price Prediction Unimodal Distributions: Products such as the Merritt tumbler, Toyota Corolla, Ford Mustang, and wedding guest book exhibit single-peaked distributions

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:20.615662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.399426Z digest=sha256:6b551aa66ea2242e897831e0402d1263073ebe34da8e6b4b7180559a42cba385

Observation 4db87bac-5dc0-4c1c-a42f-c99f6cf393c2 · outbound

This paper cites We use models that produce a distribution both for generating probabilistic outputs and for point predictions.

Quantile Regression with Large Language Models for Price Prediction We use models that produce a distribution both for generating probabilistic outputs and for point predictions

Reference 200

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:20.662876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.384945Z digest=sha256:48dd8368d32578873e0832d515581dc4803ca518aacca6f1d0b2a70c503de00b

Observation 7275e160-d153-45ae-91e6-4b835ce5655e · outbound

This paper cites an unresolved cited work.

Quantile Regression with Large Language Models for Price Prediction Unresolved cited work

Reference 2019

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:20.709785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.345724Z digest=sha256:60fdaf0af520dd4de80288cf729e2809b730ff6ddd5335689217435a59b6840c

Observation 4b79d555-48df-4e85-a273-caa687bc16a3 · outbound

This paper cites In Advances in Neural Information Processing Systems, volume 33, pages 1877–1901.

Quantile Regression with Large Language Models for Price Prediction In Advances in Neural Information Processing Systems, volume 33, pages 1877–1901

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:20.759331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T05:58:20.310573Z digest=sha256:70a226e8a99182ac63cb0a562419b0a76ee0cd8828ff73b53d2c4f42989d7b39

Observation bd32052b-a57a-4819-b982-01aeeeb97003 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Quantile Regression with Large Language Models for Price Prediction Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.335162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.335162Z digest=sha256:da061df26e08c5ee49bccddf9ea6fd4c09d1cfb281aed6c299e3bf8c8e8843ea

Observation 2a7ae920-db48-4569-a402-571dd5af541b · outbound

This paper cites Training language models to follow instructions with human feedback.

Quantile Regression with Large Language Models for Price Prediction Training language models to follow instructions with human feedback

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.355453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.355453Z digest=sha256:04c6d810a16826add33c7148ea120ea782a142a2ee188ffc3c001d1917955f35

Observation 2f888a39-159e-4121-9af4-708d46ddf9fb · outbound

This paper cites Qwen Technical Report.

Quantile Regression with Large Language Models for Price Prediction Qwen Technical Report

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.305614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.305614Z digest=sha256:e0b5d3d558fda98bde2cb80a9aa3a172e1f7160b2e253504cef6dff48d8e6337

Observation b7e3f08a-2373-49e7-b743-0f014d4d454a · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Quantile Regression with Large Language Models for Price Prediction Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:20.299441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:20.299441Z digest=sha256:e5ad742912cc505e0d4a4b20351fea0971781a297b3a5f2f04d288dbca2814eb

Pith citing papers

No inbound Pith citation observations are available.