Paper Citation Record · LEDGER

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2509.00276.

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

pith.paper-citation-record.v1
2509.00276 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:50:12.927665Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

36 of 36 outbound references displayed

verified exact3
verified fuzzy0
unresolved30
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0cf111cd-36df-49c2-81ec-4ee7d6cf67b0 · outbound

This paper cites GPT-4 Technical Report.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:09.469646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f98fc966-2678-4c02-83fa-25460abe227f · outbound

This paper cites LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:09.579096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe704685-2bfd-4c02-b29c-a698b066f4a2 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-05T13:50:09.724574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f992355c-7f8f-44a2-a4b2-bee1154f12e9 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:50:15.800463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 014ee825-0e83-46a5-87dd-d28020b1374f · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:50:15.637904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2743c581-0223-469b-bd0b-9bf9cffa9c25 · outbound

This paper cites Mistral 7B.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Mistral 7B

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:10.108709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed452e8e-72c6-4a05-9669-f026c02eec76 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:10.182108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b0f0a3b-0383-4daf-a227-5ec09e2cb3d7 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 8

Resolution: verified exact; raw_fallback, observed 2026-08-05T13:50:13.782502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e3310c23-321a-480a-85c9-b8182d8dbee7 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:50:15.467185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ebad721d-ff64-47ba-b0ef-c877c573551a · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:10.522553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab099aec-d5a8-439c-b777-bc8f9ac48fdc · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:50:15.298821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ed54ba3f-360c-4bb8-9845-2ed2f759d134 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T13:50:15.076572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15e22a90-d25b-4eb3-b9c4-fab2f2900340 · outbound

This paper cites Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Cross-Cloud Data Privacy Protection: Optimizing Collaborative Mechanisms of AI Systems by Integrating Federated Learning and LLMs

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:10.829405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ca99b8-4b89-48d3-9f5e-49d688cc6ff5 · outbound

This paper cites Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:50:13.544044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1ddd91d-8079-44bf-bd46-7610ccb8103a · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-05T13:50:11.058073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0591b75a-9e2d-4f29-86dc-4ab4308f8216 · outbound

This paper cites Fine-Tuning LLaMA for Multi-Stage Text Retrieval.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Fine-Tuning LLaMA for Multi-Stage Text Retrieval

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:11.171846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c219a0b-4db4-48aa-83bd-7164b7c11cc0 · outbound

This paper cites Generative Representational Instruction Tuning.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Generative Representational Instruction Tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:11.309759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c937a479-73d6-41d7-8e98-5a64840e8cfd · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:50:14.908338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04e4f75b-7c82-4fc7-8d66-f30ac71a057b · outbound

This paper cites Repetition Improves Language Model Embeddings.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Repetition Improves Language Model Embeddings

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:11.502258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db6bbbb3-4c4a-422a-af04-67596c8b7ca0 · outbound

This paper cites BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:11.584107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94df3324-0824-4cfc-ac80-9cd30d3edab6 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:11.667753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1319606-dde5-41d8-b12e-2f2801cec8d8 · outbound

This paper cites BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:11.862965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb36207c-bf1d-455c-b1fb-e155452d9dd6 · outbound

This paper cites In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers), Anna Rogers, Jordan Boyd-Graber, and Naoaki Okazaki (Eds.).

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (V olume 1: Long Papers), Anna Rogers, Jordan Boyd-Graber, and Naoaki Okazaki (Eds.)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:11.782256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83a315e8-b9b6-4868-b120-fc24e96b0e99 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:12.043934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58cc2b06-1390-4e16-a646-ba67acca4670 · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:11.939820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e2d0be4-70f4-4f0b-a1ea-f0401dc72ed0 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:50:14.719651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e0adb7f-1563-4718-ad44-64664e447c9d · outbound

This paper cites RAR-b: Reasoning as Retrieval Benchmark.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval RAR-b: Reasoning as Retrieval Benchmark

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:12.144107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1588486-a718-4cda-ade7-db80df0b4b6b · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:50:14.411236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b8e80ade-b316-47af-8b59-8e22b14f6d1a · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:50:14.566695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b00a62a7-f3ec-4464-b22d-87011625fccb · outbound

This paper cites HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval HADES: Hardware Accelerated Decoding for Efficient Speculation in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:12.599954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce0cae26-71cc-4a2b-9a97-8fc5c87f8c19 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 31

Resolution: verified exact; raw_fallback, observed 2026-08-05T13:50:13.293235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13bacc29-7ccd-431e-a312-6c9565b7cc26 · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:50:14.148527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d074e98-2a0f-4866-896c-076688f21114 · outbound

This paper cites Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:12.676229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90319cfa-ef12-4e51-8dfd-3f65f01500aa · outbound

This paper cites PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:12.927665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68fb4ef2-3c73-4b38-9e0c-ff496ec7f28b · outbound

This paper cites an unresolved cited work.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-05T13:50:13.995358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6f13da3-be39-4e45-b6e3-517c3e57ee37 · outbound

This paper cites Scaling Sentence Embeddings with Large Language Models.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval Scaling Sentence Embeddings with Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-05T13:50:10.236047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.